S. Aaron, A. Stephenson, D. Cameron, and G. Whitmore, A statistical model to predict one-year risk of death in patients with cystic fibrosis, Journal of Clinical Epidemiology, vol.68, issue.11
DOI : 10.1016/j.jclinepi.2014.12.010

G. Bellis, M. Cazes, A. Parant, M. Gaimard, C. Travers et al., Cystic fibrosis mortality trends in France, Journal of Cystic Fibrosis, vol.6, issue.3, pp.179-86, 2007.
DOI : 10.1016/j.jcf.2006.07.001

URL : https://hal.archives-ouvertes.fr/halshs-00265504

G. Bellis, C. Dehillotte, and L. Lemonnier, Registre Français De La Mucoviscidose, 2015.

R. Buzzetti, G. Alicandro, L. Minicucci, S. Notarnicola, M. Furnari et al., Validation of a predictive survival model in Italian patients with cystic fibrosis, Journal of Cystic Fibrosis, vol.11, issue.1, pp.24-33, 2012.
DOI : 10.1016/j.jcf.2011.08.007

C. Metz, Basic principles of ROC analysis, Seminars in Nuclear Medicine, vol.8, issue.4, pp.283-98, 1978.
DOI : 10.1016/S0001-2998(78)80014-2

J. Courtney, J. Bradley, J. Mccaughan, O. Connor, T. Shortt et al., Predictors of mortality in adults with cystic fibrosis, Pediatric Pulmonology, vol.85, issue.6, pp.525-557, 2007.
DOI : 10.1042/cs0850563

E. Dasenbrook, M. Konstan, and D. Vandevanter, Association between the introduction of a new cystic fibrosis inhaled antibiotic class and change in prevalence of patients receiving multiple inhaled antibiotic classes, Journal of Cystic Fibrosis, vol.14, issue.3, pp.370-375, 2015.
DOI : 10.1016/j.jcf.2014.11.005

J. Dodge, P. Lewis, M. Stanton, and J. Wilsher, Cystic fibrosis mortality and survival in the Uk, Eur Respir J, vol.29, pp.1947-2003522, 2007.

P. Flume, C. Strange, X. Ye, M. Ebeling, T. Hulsey et al., Pneumothorax in Cystic Fibrosis, Chest, vol.128, issue.2, pp.720-728, 2005.
DOI : 10.1378/chest.128.2.720

P. Flume, J. Yankaskas, M. Ebeling, T. Hulsey, and L. Clark, Massive Hemoptysis in Cystic Fibrosis, Chest, vol.128, issue.2, pp.729-767, 2005.
DOI : 10.1378/chest.128.2.729

P. George, W. Banya, N. Pareek, D. Bilton, P. Cullinan et al., Improved survival at low lung function in cystic fibrosis: cohort study from 1990 to 2007, BMJ, vol.342, issue.feb28 1, p.1008, 1990.
DOI : 10.1136/bmj.d1008

K. Hayllar, S. Williams, A. Wise, S. Pouria, M. Lombard et al., A prognostic model for the prediction of survival in cystic fibrosis, Thorax, vol.52, issue.4, pp.313-320, 1997.
DOI : 10.1136/thx.52.4.313

T. Hirche, C. Knoop, H. Hebestreit, D. Shimmin, A. Sole et al., Practical Guidelines: Lung Transplantation in Patients with Cystic Fibrosis, Pulmonary Medicine, vol.11, issue.2, p.621342, 2014.
DOI : 10.1016/j.jcf.2010.08.013

D. Hosmer, T. Hosmer, L. Cessie, S. Lemeshow, and S. , A COMPARISON OF GOODNESS-OF-FIT TESTS FOR THE LOGISTIC REGRESSION MODEL, Statistics in Medicine, vol.16, issue.9, pp.965-80, 1997.
DOI : 10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2-O

E. Kerem, J. Reisman, M. Corey, G. Canny, and H. Levison, Prediction of Mortality in Patients with Cystic Fibrosis, New England Journal of Medicine, vol.326, issue.18, pp.1187-91, 1992.
DOI : 10.1056/NEJM199204303261804

T. Liou, F. Adler, S. Fitzsimmons, B. Cahill, J. Hibbs et al., Predictive 5-Year Survivorship Model of Cystic Fibrosis, American Journal of Epidemiology, vol.153, issue.4, pp.345-52, 2001.
DOI : 10.21236/ADA148241

T. Mackenzie, A. Gifford, K. Sabadosa, H. Quinton, E. Knapp et al., Longevity of Patients With Cystic Fibrosis in 2000 to 2010 and Beyond: Survival Analysis of the Cystic Fibrosis Foundation Patient Registry, Annals of Internal Medicine, vol.161, issue.4
DOI : 10.7326/M13-0636

C. Martin, C. Hamard, R. Kanaan, V. Boussaud, D. Grenet et al., Causes of death in French cystic fibrosis patients: The need for improvement in transplantation referral strategies!, Journal of Cystic Fibrosis, vol.15, issue.2, pp.204-216, 2016.
DOI : 10.1016/j.jcf.2015.09.002

N. Mayer-hamblett, M. Rosenfeld, J. Emerson, C. Goss, and M. Aitken, Developing Cystic Fibrosis Lung Transplant Referral Criteria Using Predictors of 2-Year Mortality, American Journal of Respiratory and Critical Care Medicine, vol.166, issue.12, pp.1550-1555, 2002.
DOI : 10.1001/jama.286.21.2683

C. Mccarthy, B. Dimitrov, I. Meurling, C. Gunaratnam, and N. Mcelvaney, The CF-ABLE Score, Chest, vol.143, issue.5, pp.1358-64, 2013.
DOI : 10.1378/chest.12-2022

J. Schneiderman, D. Wilkes, E. Atenafu, T. Nguyen, G. Wells et al., Longitudinal relationship between physical activity and lung health in patients with cystic fibrosis, European Respiratory Journal, vol.43, issue.3, pp.817-840, 2014.
DOI : 10.1183/09031936.00055513

A. Stephenson, M. Tom, Y. Berthiaume, L. Singer, S. Aaron et al., A contemporary survival analysis of individuals with cystic fibrosis: a cohort study, European Respiratory Journal, vol.45, issue.3, pp.670-679, 2015.
DOI : 10.1183/09031936.00119714

E. Steyerberg and M. Van-veen, Imputation is beneficial for handling missing data in predictive models, Journal of Clinical Epidemiology, vol.60, issue.9, p.979, 2007.
DOI : 10.1016/j.jclinepi.2007.03.003

G. Thabut, J. Christie, H. Mal, M. Fournier, O. Brugiere et al., Survival Benefit of Lung Transplant for Cystic Fibrosis since Lung Allocation Score Implementation, American Journal of Respiratory and Critical Care Medicine, vol.35, issue.12, pp.1335-1375, 2013.
DOI : 10.1097/MOT.0b013e32832fb9f8

D. Urquhart, L. Thia, J. Francis, S. Prasad, C. Dawson et al., Deaths in childhood from cystic fibrosis: 10-year analysis from two London specialist centres, Archives of Disease in Childhood, vol.98, issue.2, pp.123-130, 2013.
DOI : 10.1136/archdischild-2012-303027

F. Venuta, E. Rendina, G. Rocca, D. Giacomo, T. Pugliese et al., Pulmonary hemodynamics contribute to indicate priority for lung transplantation in patients with cystic fibrosis, The Journal of Thoracic and Cardiovascular Surgery, vol.119, issue.4, pp.682-691, 2000.
DOI : 10.1016/S0022-5223(00)70002-X

. Nkam, Cystic fibrosis, Journal of Cystic Fibrosis xx Lancet, vol.1373, issue.9678, pp.1891-904, 2009.
URL : https://hal.archives-ouvertes.fr/tel-01783970

S. Charman, L. Sharples, K. Mcneil, and J. Wallwork, Assessment of survival benefit after lung transplantation by patient diagnosis. The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, pp.226-258, 2002.

G. Thabut, J. Christie, H. Mal, M. Fournier, O. Brugiere et al., Survival benefit of lung transplant for cystic fibrosis since lung allocation score implementation. American journal of respiratory and critical care medicine, pp.1335-1375, 2013.

T. Hirche, C. Knoop, H. Hebestreit, D. Shimmin, A. Sole et al., Practical guidelines: lung transplantation in patients with cystic fibrosis. Pulmonary medicine, p.621342, 2014.

C. Martin, C. Hamard, R. Kanaan, V. Boussaud, D. Grenet et al., Causes of death in French cystic fibrosis patients: The need for improvement in transplantation referral strategies!, Journal of Cystic Fibrosis, vol.15, issue.2, pp.204-216, 2016.
DOI : 10.1016/j.jcf.2015.09.002

E. Kerem, J. Reisman, M. Corey, G. Canny, and H. Levison, Prediction of Mortality in Patients with Cystic Fibrosis, New England Journal of Medicine, vol.326, issue.18, pp.1187-91, 1992.
DOI : 10.1056/NEJM199204303261804

S. Aaron, A. Stephenson, D. Cameron, and G. Whitmore, A statistical model to predict one-year risk of death in patients with cystic fibrosis, Journal of Clinical Epidemiology, vol.68, issue.11, pp.1336-1381, 2015.
DOI : 10.1016/j.jclinepi.2014.12.010

T. Liou, F. Adler, S. Fitzsimmons, B. Cahill, J. Hibbs et al., Predictive 5-Year Survivorship Model of Cystic Fibrosis, American Journal of Epidemiology, vol.153, issue.4, pp.345-52, 2001.
DOI : 10.21236/ADA148241

N. Mayer-hamblett, M. Rosenfeld, J. Emerson, C. Goss, and M. Aitken, Developing cystic fibrosis lung transplant referral criteria using predictors of 2-year mortality. American journal of respiratory and critical care medicine, pp.1550-1555, 2002.

C. Mccarthy, B. Dimitrov, I. Meurling, C. Gunaratnam, N. Mcelvaney et al., The CF-ABLE Score, Chest, vol.143, issue.5, pp.1358-64, 2013.
DOI : 10.1378/chest.12-2022

P. George, W. Banya, N. Pareek, D. Bilton, P. Cullinan et al., Improved survival at low lung function in cystic fibrosis: cohort study from The statistical analysis of failure time data Simultaneously modelling censored survival data and repeatedly measured covariates: A Gibbs sampling approach. Statistics in medicine A joint model for survival and longitudinal data measured with error, Bmj. Biometrics, vol.3421553, issue.151, pp.1008-1021, 1990.

R. Henderson, P. Diggle, and A. Dobson, Joint modelling of longitudinal measurements and event time data 17. van Houwelingen HC. Dynamic prediction by landmarking in event history analysis, Biostatistics. Scand J Stat, vol.134, issue.41, pp.465-8070, 2000.

G. Bellis, C. Dehillotte, and L. Lemonnier, Registre français de la mucoviscidose

D. Urquhart, L. Thia, J. Francis, S. Prasad, C. Dawson et al., Deaths in childhood from cystic fibrosis: 10-year analysis from two London specialist centres, Archives of Disease in Childhood, vol.98, issue.2, pp.123-130, 2013.
DOI : 10.1136/archdischild-2012-303027

C. Proust-lima, V. Philipps, B. Liquet, M. Sene, and J. Taylor, Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm Jacqmin-Gadda H. Joint latent class models for longitudinal and time-to-event data: a review. Statistical methods in medical research, J Stat Softw, vol.7823, issue.211, pp.1-5674, 2014.

D. Bauer and P. Curran, Distributional Assumptions of Growth Mixture Models: Implications for Overextraction of Latent Trajectory Classes., Psychological Methods, vol.8, issue.3, pp.338-63, 2003.
DOI : 10.1037/1082-989X.8.3.338

P. Blanche, J. Dartigues, and H. Jacqmin-gadda, Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks Statistics in medicine Jointly modelling the relationship between survival and pulmonary function in cystic fibrosis patients, Statistics in medicine, vol.3221, issue.309, pp.5381-971271, 2002.

A. Piccorelli, M. Schluchter, R. Szczesniak, W. Su, and J. Clancy, Jointly modeling the relationship between longitudinal and survival data subject to left truncation with applications to cystic fibrosis Statistics in medicine Dynamics of Disease Progression and Gastrostomy Tube Placement in Children and Adolescents with Cystic Fibrosis: Application of Joint Models for Longitudinal and Time-to-Event Data, Internal medicine review, vol.312, issue.269, pp.3931-3976, 2012.

R. Szczesniak, G. Mcphail, L. Duan, M. Macaluso, R. Amin et al., A semiparametric approach to estimate rapid lung function decline in cystic fibrosis A comparison of change point models with application to longitudinal lung function measurements in children with cystic fibrosis Phenotypes of Rapid Cystic Fibrosis Lung Disease Progression during Adolescence and Young Adulthood American journal of respiratory and critical care medicine, Annals of epidemiology. Statistics in medicine, vol.2335196, issue.294, pp.771-72058, 2013.

S. D. Bibliographie, A. L. Aaron, D. W. Stephenson, G. A. Cameron, and . Whitmore, A statistical model to predict one-year risk of death in patients with cystic fibrosis, J Clin Epidemiol, vol.68, issue.57, pp.1336-1381, 2015.

G. Altman and P. Royston, What do we mean by validating a prognostic model?, Statistics in Medicine, vol.130, issue.4, pp.453-473, 2000.
DOI : 10.7326/0003-4819-130-6-199903160-00016

E. R. Andrinopoulou, D. Rizopoulos, J. J. Takkenberg, and E. Lesaffre, Joint modeling of two longitudinal outcomes and competing risk data, Statistics in Medicine, vol.14, issue.5, pp.3167-3178, 2014.
DOI : 10.1007/978-1-4757-3462-1

E. R. Andrinopoulou, D. Rizopoulos, J. J. Takkenberg, and E. Lesaffre, Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data, Statistical Methods in Medical Research, vol.14, issue.4, pp.1787-1801, 2017.
DOI : 10.1002/bimj.201000073

P. Antolini, E. Boracchi, and . Biganzoli, A time-dependent discrimination index for survival data, Statistics in Medicine, vol.95, issue.24, pp.3927-3944, 2005.
DOI : 10.1002/bimj.4710260317

G. Bellis, M. H. Cazes, A. Parant, M. Gaimard, C. Travers et al., Cystic fibrosis mortality trends in France, Journal of Cystic Fibrosis, vol.6, issue.3, pp.179-86, 2007.
DOI : 10.1016/j.jcf.2006.07.001

URL : https://hal.archives-ouvertes.fr/halshs-00265504

G. Bellis, C. Dehillotte, and L. Lemonnier, Registre français de la mucoviscidose, p.98, 2015.

J. F. Blanche, H. Dartigues, and . Jacqmin-gadda, Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks, Statistics in Medicine, vol.16, issue.3, pp.5381-5397, 2013.
DOI : 10.1002/(SICI)1097-0258(19970215)16:3<285::AID-SIM535>3.0.CO;2-#

C. Blanche, L. Proust-lima, C. Loubere, J. F. Berr, H. Dartigues et al., Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks, Biometrics, vol.68, issue.1, pp.71102-113
DOI : 10.1111/j.1541-0420.2011.01671.x

. Breslow, Covariance Analysis of Censored Survival Data, Biometrics, vol.30, issue.1, pp.89-99, 1974.
DOI : 10.2307/2529620

E. R. Brown and J. G. Ibrahim, A Bayesian Semiparametric Joint Hierarchical Model for Longitudinal and Survival Data, Biometrics, vol.53, issue.2, pp.221-228, 2003.
DOI : 10.2307/2533118

E. R. Brown, J. G. Ibrahim, and V. Degruttola, A Flexible B-Spline Model for Multiple Longitudinal Biomarkers and Survival, Biometrics, vol.53, issue.1, pp.64-73, 2005.
DOI : 10.1111/j.0006-341X.2001.00875.x

P. R. Burgel, G. Bellis, H. V. Olesen, L. Viviani, A. Zolin et al., Future trends in cystic fibrosis demography in 34 European countries, European Respiratory Journal, vol.46, issue.1, pp.133-174, 2015.
DOI : 10.1183/09031936.00196314

G. Buzzetti, L. Alicandro, S. Minicucci, M. L. Notarnicola, G. Furnari et al., Validation of a predictive survival model in Italian patients with cystic fibrosis, Journal of Cystic Fibrosis, vol.11, issue.1, pp.24-33, 2012.
DOI : 10.1016/j.jcf.2011.08.007

F. S. Collins, Cystic fibrosis: molecular biology and therapeutic implications, Science, vol.256, issue.5058, pp.774-779, 1992.
DOI : 10.1126/science.1375392

M. Corey and V. Farewell, Determinants of Mortality from Cystic Fibrosis in Canada, 1970-1989, American Journal of Epidemiology, vol.143, issue.10, pp.1007-1024, 1996.
DOI : 10.1093/oxfordjournals.aje.a008664

M. Corey, L. Edwards, H. Levison, and M. Knowles, Longitudinal analysis of pulmonary function decline in patients with cystic fibrosis, The Journal of Pediatrics, vol.131, issue.6, pp.809-823, 1997.
DOI : 10.1016/S0022-3476(97)70025-8

D. B. Coultas, C. A. Howard, B. J. Skipper, and J. M. Samet, Spirometric Prediction Equations for Hispanic Children and Adults in New Mexico, American Review of Respiratory Disease, vol.113, issue.6, pp.1386-92, 1988.
DOI : 10.1080/01621459.1984.10478088

J. M. Courtney, K. E. Dunbar, A. Mcdowell, J. E. Moore, T. J. Warke et al., Clinical outcome of Burkholderia cepacia complex infection in cystic fibrosis adults, Journal of Cystic Fibrosis, vol.3, issue.2, pp.93-101, 2004.
DOI : 10.1016/j.jcf.2004.01.005

D. R. Cox, Regression Models and Life-Tables, Journal of the Royal Statistical Society Series B-Methodological, vol.34, pp.187-220, 1972.
DOI : 10.1007/978-1-4612-4380-9_37

R. O. Crapo, A. H. Morris, and R. M. Gardner, Reference spirometric values using techniques and equipment that meet ats recommendations, Am Rev Respir Dis, vol.123, issue.6 8, pp.659-64, 1981.

E. Dantan, P. Joly, J. F. Dartigues, and H. Jacqmin-gadda, Joint model with latent state for longitudinal and multistate data, Biostatistics, vol.66, issue.4, pp.723-759, 2011.
DOI : 10.1111/j.1541-0420.2009.01261.x

URL : https://academic.oup.com/biostatistics/article-pdf/12/4/723/17731783/kxr003.pdf

E. C. Dasenbrook, C. A. Merlo, M. Diener-west, N. Lechtzin, and M. P. Boyle, Decline in Cystic Fibrosis, American Journal of Respiratory and Critical Care Medicine, vol.178, issue.8, pp.814-835, 2008.
DOI : 10.1164/rccm.200403-404OC

J. C. Davies and E. W. Alton, Monitoring Respiratory Disease Severity in Cystic Fibrosis, Respiratory Care, vol.54, issue.5, pp.606-623, 2009.
DOI : 10.4187/aarc0493

J. C. Davies, C. E. Wainwright, G. J. Canny, M. A. Chilvers, M. S. Howenstine et al., Efficacy and safety of ivacaftor in patients aged 6 to 11 years with cystic fibrosis with a g551d mutation, Am J Respir Crit Care Med, issue.11, pp.187-1219, 2013.

K. W. Sawicki, S. Southern, Y. Robertson, J. Green, M. Cooke et al., Safety, pharmacokinetics, and pharmacodynamics of ivacaftor in patients aged 2-5 years with cystic fibrosis and a cftr gating mutation (kiwi) : an open-label, single-arm study, Lancet Respir Med, vol.4, issue.2, pp.107-122, 2016.

D. Boeck, Improving standards of clinical care in cystic fibrosis, European Respiratory Journal, vol.16, issue.4, pp.585-592, 2000.
DOI : 10.1034/j.1399-3003.2000.16d02.x

D. Boeck, A. Malfroot, L. Van-schil, P. Lebecque, C. Knoop et al., complex colonisation in cystic fibrosis patients, European Respiratory Journal, vol.23, issue.6, pp.851-857, 2004.
DOI : 10.1183/09031936.04.00118804

D. Boeck, M. Wilschanski, C. Castellani, C. Taylor, H. Cuppens et al., Cystic fibrosis: terminology and diagnostic algorithms, Thorax, vol.61, issue.7, pp.61627-61662, 2006.
DOI : 10.1136/thx.2005.043539

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via em algorithm, Journal of the Royal Statistical Society Series B-Methodological, vol.39, issue.1, pp.1-38, 1977.

P. Diggle and M. G. Kenward, Informative Drop-Out in Longitudinal Data Analysis, Applied Statistics, vol.43, issue.1
DOI : 10.2307/2986113

J. A. Dodge, P. A. Lewis, M. Stanton, and J. Wilsher, Cystic fibrosis mortality and survival in the UK: 1947-2003, European Respiratory Journal, vol.29, issue.3, pp.522-528, 2007.
DOI : 10.1183/09031936.00099506

G. Doring, N. Hoiby, and G. , Early intervention and prevention of lung disease in cystic fibrosis: a European consensus, Journal of Cystic Fibrosis, vol.3, issue.2, pp.67-91, 2004.
DOI : 10.1016/j.jcf.2004.03.008

M. R. Wright, G. Knowles, . Gene-modifier, and . Study, Genetic modifiers of lung disease in cystic fibrosis, N Engl J Med, vol.353, issue.14 5, pp.1443-53, 2005.

B. Efron, The Efficiency of Cox's Likelihood Function for Censored Data, Journal of the American Statistical Association, vol.22, issue.359, pp.557-565, 1977.
DOI : 10.2307/2344317

B. Efron and R. Tibshirani, Improvements on cross-validation : The .632+ bootstrap method, Journal of the American Statistical Association, vol.92, issue.438, pp.548-560, 1997.

J. R. Ogden, J. H. Yankaskas, J. T. Westerman, M. A. Thompson, and . Weiner, Improved results of lung transplantation for patients with cystic fibrosis, J

M. Elashoff, G. Li, and N. Li, A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types, Biometrics, vol.11, issue.3, pp.762-771, 2008.
DOI : 10.1007/s10985-004-0381-0

M. Ellaffi, C. Vinsonneau, J. Coste, D. Hubert, P. R. Burgel et al., One-year Outcome after Severe Pulmonary Exacerbation in Adults with Cystic Fibrosis, American Journal of Respiratory and Critical Care Medicine, vol.171, issue.2, pp.158-64, 2005.
DOI : 10.1378/chest.102.3.846

P. M. Farrell, The prevalence of cystic fibrosis in the European Union, Journal of Cystic Fibrosis, vol.7, issue.5, pp.450-453, 2008.
DOI : 10.1016/j.jcf.2008.03.007

P. R. Cutting, V. A. Durie, J. Legrys, R. B. Massie, M. J. Parad et al., Guidelines for diagnosis of cystic fibrosis in newborns through older adults : Cystic fibrosis foundation consensus report, J Pediatr, vol.153, issue.3, pp.4-14, 2008.

B. C. Southern, P. R. Marshall, and . Sosnay, The Diagnosis of Cystic Fibrosis, New England Journal of Medicine, vol.336, issue.7, pp.4-15, 2017.
DOI : 10.1056/NEJM199702133360707

C. L. Faucett and D. C. Thomas, SIMULTANEOUSLY MODELLING CENSORED SURVIVAL DATA AND REPEATEDLY MEASURED COVARIATES: A GIBBS SAMPLING APPROACH, Statistics in Medicine, vol.15, issue.15, pp.1663-1685, 1996.
DOI : 10.1002/(SICI)1097-0258(19960815)15:15<1663::AID-SIM294>3.0.CO;2-1

B. Fauroux, E. Le-roux, S. Ravilly, G. Bellis, and A. Clement, Long-Term Noninvasive Ventilation in Patients with Cystic Fibrosis, Respiration, vol.60, issue.2, pp.168-174, 2008.
DOI : 10.1378/chest.128.2.657

L. Ferrer, V. Rondeau, J. Dignam, T. Pickles, H. Jacqmin-gadda et al., Joint modelling of longitudinal and multi-state processes: application to clinical progressions in prostate cancer, Statistics in Medicine, vol.11, issue.2, pp.3933-3948, 2016.
DOI : 10.1191/0962280202sm279ra

P. A. Flume, Pulmonary Complications of Cystic Fibrosis, Respiratory Care, vol.54, issue.5, pp.618-625, 2009.
DOI : 10.4187/aarc0443

L. Vender, K. Hlazle, B. Sabadosa, and . Marshall, Cystic fibrosis pulmonary guidelines -chronic medications for maintenance of lung health, American Journal of Respiratory and Critical Care Medicine, vol.176, issue.10 11, pp.957-969, 2007.

. Simmonds, Improved survival at low lung function in cystic fibrosis : cohort study from, BMJ, vol.342, issue.10, pp.1008-57, 1990.

T. A. Gerds and M. Schumacher, Consistent Estimation of the Expected Brier Score in General Survival Models with Right-Censored Event Times, Biometrical Journal, vol.93, issue.6, pp.1029-1069, 2006.
DOI : 10.1002/bimj.200610301

H. W. Glindmeyer, J. J. Lefante, C. Mccolloster, R. N. Jones, and H. Weill, Blue-collar normative spirometric values for Caucasian and African-American men and women aged 18 to 65., American Journal of Respiratory and Critical Care Medicine, vol.151, issue.2, pp.412-434, 1995.
DOI : 10.1164/ajrccm.151.2.7842200

C. H. Goss, S. A. Newsom, J. S. Schildcrout, L. Sheppard, and J. D. Kaufman, Effect of Ambient Air Pollution on Pulmonary Exacerbations and Lung Function in Cystic Fibrosis, American Journal of Respiratory and Critical Care Medicine, vol.169, issue.7, pp.816-837, 2004.
DOI : 10.1038/sj.jea.7500063

E. Graf, C. Schmoor, W. Sauerbrei, and M. Schumacher, Assessment and comparison of prognostic classification schemes for survival data, Statistics in Medicine, vol.307, issue.17-18, pp.17-182529, 1999.
DOI : 10.1017/CBO9780511812651

X. Guo and B. P. Carlin, Separate and Joint Modeling of Longitudinal and Event Time Data Using Standard Computer Packages, The American Statistician, vol.58, issue.1, pp.16-24, 2004.
DOI : 10.1198/0003130042854

E. H. Han, E. A. Slate, and . Pena, Parametric latent class joint model for a longitudinal biomarker and recurrent events, Statistics in Medicine, vol.24, issue.29, pp.5285-5302, 2007.
DOI : 10.1002/0471721182

J. L. Hankinson, J. R. Odencrantz, and K. B. Fedan, Spirometric Reference Values from a Sample of the General U.S. Population, American Journal of Respiratory and Critical Care Medicine, vol.123, issue.1, pp.179-87, 1999.
DOI : 10.1164/ajrccm/144.5.1202

F. E. Harrell, R. M. Califf, D. B. Pryor, K. L. Lee, and R. A. Rosati, Evaluating the Yield of Medical Tests, JAMA: The Journal of the American Medical Association, vol.247, issue.18, pp.2543-2546, 1982.
DOI : 10.1001/jama.1982.03320430047030

D. A. Harville, Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems, Journal of the American Statistical Association, vol.27, issue.358, pp.320-338, 1977.
DOI : 10.1080/01621459.1973.10482448

J. Heagerty, T. Lumley, and M. S. Pepe, Time-Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker, Biometrics, vol.39, issue.2, pp.337-344, 2000.
DOI : 10.1002/(SICI)1097-0258(19971015)16:19<2143::AID-SIM655>3.0.CO;2-3

P. Henderson, A. Diggle, and . Dobson, Joint modelling of longitudinal measurements and event time data, Biostatistics, vol.1, issue.4, pp.465-80, 2000.
DOI : 10.1093/biostatistics/1.4.465

M. E. Hodson, B. P. Madden, M. H. Steven, V. T. Tsang, and M. H. Yacoub, Noninvasive mechanical ventilation for cystic fibrosis patients?a potential bridge to transplantation, Eur Respir J, vol.4, issue.5, pp.524-531, 1991.

J. L. Hook and D. J. Lederer, Selecting lung transplant candidates: where do current guidelines fall short?, Expert Review of Respiratory Medicine, vol.114, issue.1, pp.51-61, 2012.
DOI : 10.1161/CIRCULATIONAHA.106.618397

URL : http://europepmc.org/articles/pmc3286653?pdf=render

D. W. Hosmer, T. Hosmer, S. Le-cessie, and S. Lemeshow, A COMPARISON OF GOODNESS-OF-FIT TESTS FOR THE LOGISTIC REGRESSION MODEL, Statistics in Medicine, vol.16, issue.9, pp.965-80, 1997.
DOI : 10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2-O

X. Huang, G. Li, R. M. Elashoff, and J. X. Pan, A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects, Lifetime Data Analysis, vol.28, issue.1
DOI : 10.2307/3315878

J. D. Kalbfleisch and R. L. Prentice, The statistical analysis of failure time data
DOI : 10.1002/9781118032985

A. Kelly and A. Moran, Update on cystic fibrosis-related diabetes, Journal of Cystic Fibrosis, vol.12, issue.4, pp.318-349, 2013.
DOI : 10.1016/j.jcf.2013.02.008

B. Kerem, J. M. Rommens, J. A. Buchanan, D. Markiewicz, T. K. Cox et al., Identification of the cystic fibrosis gene : genetic analysis, Science, issue.4922 1, pp.2451073-80, 1989.

E. Kerem, J. Reisman, M. Corey, G. J. Canny, and H. Levison, Prediction of Mortality in Patients with Cystic Fibrosis, New England Journal of Medicine, vol.326, issue.18, pp.1187-91, 1992.
DOI : 10.1056/NEJM199204303261804

E. A. Knapp, A. K. Fink, C. H. Goss, A. Sewall, J. Ostrenga et al., The Cystic Fibrosis Foundation Patient Registry. Design and Methods of a National Observational Disease Registry, Annals of the American Thoracic Society, vol.14, issue.9, pp.131173-131182, 2016.
DOI : 10.1136/thoraxjnl-2014-206750

J. Knudson, M. D. Lebowitz, C. J. Holberg, and B. Burrows, Changes in the normal maximal expiratory flow-volume curve with growth and aging, Am Rev Respir Dis, vol.127, issue.8, pp.725-759, 1983.

M. W. Konstan, S. M. Butler, M. E. Wohl, M. Stoddard, R. Matousek et al., Investigators, and F. Coordinators of the Epidemiologic Study of Cystic. Growth and nutritional indexes in early life predict pulmonary function in cystic fibrosis, J Pediatr, issue.6 11, pp.142624-142654, 2003.

M. W. Konstan, W. J. Morgan, S. M. Butler, D. J. Pasta, M. L. Craib et al., Risk Factors For Rate of Decline in Forced Expiratory Volume in One Second in Children and Adolescents with Cystic Fibrosis, The Journal of Pediatrics, vol.151, issue.2, pp.134-143, 2007.
DOI : 10.1016/j.jpeds.2007.03.006

J. Green, P. M. Collins, and . Farrell, Acceleration of lung disease in children with cystic fibrosis after pseudomonas aeruginosa acquisition, Pediatr Pulmonol, vol.32, issue.4 6, pp.277-87, 2001.

A. Krol, L. Ferrer, J. P. Pignon, C. Proust-lima, M. Ducreux et al., Joint model for left-censored longitudinal data, recurrent events and terminal event: Predictive abilities of tumor burden for cancer evolution with application to the FFCD 2000-05 trial, Biometrics, vol.53, issue.3, pp.72907-916, 2016.
DOI : 10.2307/2533118

C. Kugler, M. Strueber, U. Tegtbur, J. Niedermeyer, and A. Haverich, Quality of Life 1 Year after Lung Transplantation, Progress in Transplantation, vol.11, issue.4, pp.331-337, 2004.
DOI : 10.1164/ajrccm/145.6.1321

M. Laird and J. H. Ware, Random-Effects Models for Longitudinal Data, Biometrics, vol.38, issue.4, pp.963-74, 1982.
DOI : 10.2307/2529876

R. Lama, A. Alvarez, F. Santos, J. Algar, J. L. Aranda et al., Long-term results of lung transplantation for cystic fibrosis, Transplantation Proceedings, vol.33, issue.1-2, pp.1624-1629, 2001.
DOI : 10.1016/S0041-1345(00)02618-X

M. Lee, K. A. Cronin, M. H. Gail, and E. J. Feuer, Predicting the absolute risk of dying from colorectal cancer and from other causes using population-based cancer registry data, Statistics in Medicine, vol.29, issue.30, pp.31489-500, 2012.
DOI : 10.1002/sim.4133

D. Y. Lin, L. J. Wei, and Z. Ying, Checking the Cox model with cumulative sums of martingale-based residuals, Biometrika, vol.80, issue.3, pp.557-572, 1993.
DOI : 10.1093/biomet/80.3.557

H. Q. Lin, B. W. Turnbull, C. E. Mcculloch, and E. H. Slate, Latent Class Models for Joint Analysis of Longitudinal Biomarker and Event Process Data, Journal of the American Statistical Association, vol.97, issue.457, pp.9753-65, 2002.
DOI : 10.1198/016214502753479220

. Marshall, Predictive 5-year survivorship model of cystic fibrosis, Am J Epidemiol, vol.153, issue.10, pp.345-52, 2001.

T. G. Liou, F. R. Adler, D. R. Cox, and B. C. Cahill, Lung Transplantation and Survival in Children with Cystic Fibrosis, New England Journal of Medicine, vol.357, issue.21, pp.2143-52, 2007.
DOI : 10.1056/NEJMoa066359

J. J. Lipuma, The Changing Microbial Epidemiology in Cystic Fibrosis, Clinical Microbiology Reviews, vol.23, issue.2, pp.299-323, 2010.
DOI : 10.1128/CMR.00068-09

R. Little and D. Rubin, Statistical Analysis with Missing Data, p.31, 1987.
DOI : 10.1002/9781119013563

URL : https://deepblue.lib.umich.edu/bitstream/handle/2027.42/86948/j.1467-9876.2011.00763.x.pdf%3Bjsessionid%3D9F4E40A0121497171B7FCBB5E4722167?sequence%3D1

R. Little and D. Rubin, Statistical Analysis with Missing Data, p.31, 2002.
DOI : 10.1002/9781119013563

URL : https://deepblue.lib.umich.edu/bitstream/handle/2027.42/86948/j.1467-9876.2011.00763.x.pdf%3Bjsessionid%3D9F4E40A0121497171B7FCBB5E4722167?sequence%3D1

R. J. Little, Pattern-mixture models for multivariate incomplete data, Journal of the American Statistical Association, vol.88, issue.421, pp.125-134, 1993.
DOI : 10.1080/01621459.1993.10594302

URL : https://cloudfront.escholarship.org/dist/prd/content/qt9jb3w254/qt9jb3w254.pdf

L. Liu and X. L. Huang, Joint analysis of correlated repeated measures and recurrent events processes in the presence of death, with application to a study on acquired immune deficiency syndrome, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.69, issue.1, pp.65-81, 2009.
DOI : 10.1007/978-1-4757-3294-8

J. B. Lyczak, C. L. Cannon, and G. B. Pier, Lung Infections Associated with Cystic Fibrosis, Clinical Microbiology Reviews, vol.15, issue.2, pp.194-222, 2002.
DOI : 10.1128/CMR.15.2.194-222.2002

M. R. Friedman, B. J. Knowles, G. R. Rosenstein, and . Cutting, Identification of common cystic fibrosis mutations in african-americans with cystic fibrosis increases the detection rate to 75, Am J Hum Genet, vol.60, issue.5 5, pp.1122-1129, 1997.

B. C. Goss and . Marshall, Longevity of patients with cystic fibrosis in 2000 to 2010 and beyond : survival analysis of the cystic fibrosis foundation patient registry

. Hodson, Noninvasive ventilation in cystic fibrosis patients with acute or chronic respiratory failure, Eur Respir J, vol.19, issue.2, pp.310-313, 2002.

C. Martin, C. Hamard, R. Kanaan, V. Boussaud, D. Grenet et al., Causes of death in French cystic fibrosis patients: The need for improvement in transplantation referral strategies!, Journal of Cystic Fibrosis, vol.15, issue.2, pp.204-216, 2016.
DOI : 10.1016/j.jcf.2015.09.002

A. Mauguen, B. Rachet, S. Mathoulin-pelissier, G. Macgrogan, A. Laurent et al., Dynamic prediction of risk of death using history of cancer recurrences in joint frailty models, Statistics in Medicine, vol.58, issue.1, pp.5366-5380, 2013.
DOI : 10.1111/j.1467-9876.2008.00641.x

M. May, P. Royston, M. Egger, A. C. Justice, and J. A. Sterne, Development and validation of a prognostic model for survival time data: application to prognosis of HIV positive patients treated with antiretroviral therapy, Statistics in Medicine, vol.23, issue.15, pp.2375-2398, 2004.
DOI : 10.1002/sim.1825

M. Mayer-hamblett, J. Rosenfeld, C. H. Emerson, M. L. Goss, and . Aitken, Developing Cystic Fibrosis Lung Transplant Referral Criteria Using Predictors of 2-Year Mortality, American Journal of Respiratory and Critical Care Medicine, vol.166, issue.12, pp.1550-1555, 2002.
DOI : 10.1001/jama.286.21.2683

B. Michiels, G. Molenberghs, L. Bijnens, T. Vangeneugden, and H. Thijs, Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out, Statistics in Medicine, vol.92, issue.8, pp.1023-1064, 2002.
DOI : 10.1080/01621459.1997.10473642

L. Hoag, L. Lubsch, K. Hazle, B. Sabadosa, and P. C. Marshall, Cystic fibrosis pulmonary guidelines chronic medications for maintenance of lung health

J. Moran, B. Dunitz, A. Nathan, B. Saeed, W. Holme et al., Cystic Fibrosis-Related Diabetes: Current Trends in Prevalence, Incidence, and Mortality, Diabetes Care, vol.32, issue.9, pp.1626-1657, 2009.
DOI : 10.2337/dc09-0586

J. Morral, X. Bertranpetit, V. Estivill, T. Nunes, J. Casals et al., The origin of the major cystic fibrosis mutation (??F508) in European populations, Nature Genetics, vol.7, issue.2, pp.169-75, 1994.
DOI : 10.1038/ng0694-169

G. M. Nixon, D. S. Armstrong, R. Carzino, J. B. Carlin, A. Olinsky et al., Clinical outcome after early Pseudomonas aeruginosa infection in cystic fibrosis, The Journal of Pediatrics, vol.138, issue.5, pp.699-704, 2001.
DOI : 10.1067/mpd.2001.112897

A. Oliver, R. Canton, P. Campo, F. Baquero, and J. Blazquez, High Frequency of Hypermutable Pseudomonas aeruginosa in Cystic Fibrosis Lung Infection, Science, vol.288, issue.5469, pp.1251-1255, 2000.
DOI : 10.1126/science.288.5469.1251

M. Olszowiec-chlebna, A. Koniarek-maniecka, W. Stelmach, K. Smejda, J. Jerzynska et al., Predictors of deterioration of lung function in Polish children with cystic fibrosis, Archives of Medical Science, vol.2, issue.2 9, pp.402-409, 2016.
DOI : 10.5114/aoms.2016.59268

J. B. Orens, M. Estenne, S. Arcasoy, J. V. Conte, P. Corris et al., International Guidelines for the Selection of Lung Transplant Candidates: 2006 Update???A Consensus Report From the Pulmonary Scientific Council of the International Society for Heart and Lung Transplantation, The Journal of Heart and Lung Transplantation, vol.25, issue.7, pp.25-745, 2006.
DOI : 10.1016/j.healun.2006.03.011

B. P. O-'sullivan and S. D. Freedman, Cystic fibrosis, The Lancet, vol.373, issue.9678, pp.1891-904, 2009.
DOI : 10.1016/S0140-6736(09)60327-5

L. Parast, S. C. Cheng, and T. X. Cai, Landmark Prediction of Long-Term Survival Incorporating Short-Term Event Time Information, Journal of the American Statistical Association, vol.20, issue.500, pp.1492-1501, 2012.
DOI : 10.1198/016214507000001481

J. R. Phillips, T. J. Tripp, W. E. Regelmann, P. M. Schlievert, and O. D. Wangensteen, Staphylococcal alpha-toxin causes increased tracheal epithelial permeability, Pediatr Pulmonol, issue.12 6, pp.411146-52, 2006.
DOI : 10.1002/ppul.20501

R. L. Prentice, Covariate measurement errors and parameter estimation in a failure time regression model, Biometrika, vol.69, issue.2, pp.331-342, 1982.
DOI : 10.1093/biomet/69.2.331

T. Pressler, C. Bohmova, S. Conway, S. Dumcius, L. Hjelte et al., Chronic Pseudomonas aeruginosa infection definition: EuroCareCF Working Group report, Journal of Cystic Fibrosis, vol.10, issue.2 6, pp.75-83, 2011.
DOI : 10.1016/S1569-1993(11)60011-8

URL : https://doi.org/10.1016/s1569-1993(11)60011-8

J. M. Proust-lima and . Taylor, Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach, Biostatistics, vol.63, issue.1, pp.535-549, 2009.
DOI : 10.1111/j.1541-0420.2006.00726.x

URL : https://hal.archives-ouvertes.fr/inserm-00367752

M. Proust-lima, J. M. Sene, H. Taylor, and . Jacqmin-gadda, Joint latent class models for longitudinal and time-to-event data: A review, Statistical Methods in Medical Research, vol.171, issue.1, pp.74-90, 2014.
DOI : 10.1016/S0360-3016(03)00439-5

J. F. Proust-lima, H. Dartigues, and . Jacqmin-gadda, Joint modeling of repeated multivariate cognitive measures and competing risks of dementia and death: a latent process and latent class approach, Statistics in Medicine, vol.71, issue.1, pp.382-398, 2016.
DOI : 10.1111/biom.12232

H. Putter, M. Fiocco, and R. B. Geskus, Tutorial in biostatistics: competing risks and multi-state models, Statistics in Medicine, vol.6, issue.11, pp.2389-430, 2007.
DOI : 10.1017/CBO9780511810633

V. X. Elborn and . Group, A cftr potentiator in patients with cystic fibrosis and the g551d mutation, N Engl J Med, vol.365, issue.18, pp.1663-72, 2011.

J. Raymond, A. L. Hinderliter, P. W. Willis, D. Ralph, E. J. Caldwell et al., Echocardiographic predictors of adverse outcomes in primary pulmonary hypertension, J Am Coll Cardiol, issue.7, pp.391214-391223, 2002.

D. W. Reid, C. L. Blizzard, D. M. Shugg, C. Flowers, C. Cash et al., Changes in cystic fibrosis mortality in Australia, 1979-2005, The Medical Journal of Australia, vol.195, issue.7, pp.392-397, 1979.
DOI : 10.5694/mja10.11229

J. R. Riordan, J. M. Rommens, B. Kerem, N. Alon, R. Rozmahel et al., Identification of the cystic fibrosis gene : cloning and characterization of complementary dna, Science, issue.4922 1, pp.2451066-73, 1989.

D. Rizopoulos, Dynamic Predictions and Prospective Accuracy in Joint Models for Longitudinal and Time-to-Event Data, Biometrics, vol.63, issue.9, pp.819-829, 2011.
DOI : 10.1111/j.1541-0420.2006.00726.x

D. Rizopoulos, The r package jmbayes for fitting joint models for longitudinal and time-to-event data using mcmc, Journal of Statistical Software, vol.72, issue.7, pp.1-46, 2016.

D. Rizopoulos and P. Ghosh, A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event, Statistics in Medicine, vol.13, issue.12, pp.1366-1380, 2011.
DOI : 10.1198/1061860043010

D. Rizopoulos, G. Verbeke, and E. Lesaffre, Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.11, issue.3, pp.637-654, 2009.
DOI : 10.1007/978-1-4757-4182-7

J. M. Rommens, M. C. Iannuzzi, B. Kerem, M. L. Drumm, G. Melmer et al., Identification of the Cystic Fibrosis Gene, Obstetrical & Gynecological Survey, vol.45, issue.3, pp.245-1059, 1989.
DOI : 10.1097/00006254-199003000-00005

P. S. Rosenberg, Hazard Function Estimation Using B-Splines, Biometrics, vol.51, issue.3, pp.874-87, 1995.
DOI : 10.2307/2532989

A. Rouanet, P. Joly, J. F. Dartigues, C. Proust-lima, and H. Jacqmin-gadda, Joint latent class model for longitudinal data and interval-censored semi-competing events: Application to dementia, Biometrics, vol.53, issue.4, pp.1123-1135, 2016.
DOI : 10.2307/2533118

D. B. Sanders, A. Fink, N. Mayer-hamblett, M. S. Schechter, G. S. Sawicki et al., Early Life Growth Trajectories in Cystic Fibrosis are Associated with Pulmonary Function at Age 6 Years, The Journal of Pediatrics, vol.167, issue.5, pp.1081-1089, 2015.
DOI : 10.1016/j.jpeds.2015.07.044

C. Schaedel, I. De-monestrol, L. Hjelte, M. Johannesson, R. Kornfalt et al., Predictors of deterioration of lung function in cystic fibrosis*, Pediatric Pulmonology, vol.30, issue.Suppl C, pp.483-91, 2002.
DOI : 10.1002/hep.510300527

M. Schemper and R. Henderson, Predictive Accuracy and Explained Variation in Cox Regression, Biometrics, vol.9, issue.1, pp.249-55, 2000.
DOI : 10.1002/sim.4780091109

M. D. Schluchter, M. W. Konstan, and P. B. Davis, Jointly modelling the relationship between survival and pulmonary function in cystic fibrosis patients, Statistics in Medicine, vol.131, issue.9, pp.1271-87, 2002.
DOI : 10.1016/S0022-3476(97)70025-8

J. D. Schwartz, S. A. Katz, R. W. Fegley, and M. S. Tockman, Analysis of Spirometric Data from a National Sample of Healthy 6- to 24-year-olds (NHANES II), American Review of Respiratory Disease, vol.127, issue.6, pp.1405-1419, 1988.
DOI : 10.2105/AJPH.76.8.992

H. Shwachman and A. Mahmoodian, Pilocarpine iontophoresis sweat testing results of seven years' experience, Bibl Paediatr, vol.86, issue.3, pp.158-82, 1967.

J. Sims, J. Mccormick, G. Mehta, A. Mehta, and U. K. , Neonatal screening for cystic fibrosis is beneficial even in the context of modern treatment, The Journal of Pediatrics, vol.147, issue.3, pp.42-48, 2005.
DOI : 10.1016/j.jpeds.2005.08.002

X. Song, M. Davidian, and A. A. Tsiatis, A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data, Biometrics, vol.57, issue.4, pp.742-53, 2002.
DOI : 10.1111/j.0006-341X.2001.00795.x

J. E. Spahr, R. B. Love, M. Francois, K. Radford, and K. C. Meyer, Lung transplantation for cystic fibrosis: Current concepts and one center's experience, Journal of Cystic Fibrosis, vol.6, issue.5, pp.334-50, 2007.
DOI : 10.1016/j.jcf.2006.12.010

R. Szczesniak, S. L. Heltshe, S. Stanojevic, and N. Mayer-hamblett, Use of FEV 1 in cystic fibrosis epidemiologic studies and clinical trials: A statistical perspective for the clinical researcher, Journal of Cystic Fibrosis, vol.16, issue.3, pp.318-326, 2017.
DOI : 10.1016/j.jcf.2017.01.002

M. Taussig, J. Kattwinkel, W. T. Friedewald, and P. A. Di-sant-'agnese, A new prognostic score and clinical evaluation system for cystic fibrosis, The Journal of Pediatrics, vol.82, issue.3, pp.380-90, 1973.
DOI : 10.1016/S0022-3476(73)80110-6

G. Thabut, J. D. Christie, H. Mal, M. Fournier, O. Brugiere et al., Survival Benefit of Lung Transplant for Cystic Fibrosis since Lung Allocation Score Implementation, American Journal of Respiratory and Critical Care Medicine, vol.35, issue.12, pp.1335-1375, 2013.
DOI : 10.1097/MOT.0b013e32832fb9f8

. Balfour-lynn, Deaths in childhood from cystic fibrosis : 10-year analysis from two london specialist centres, Arch Dis Child, vol.98, issue.56, pp.123-130, 2013.

H. C. Van-houwelingen, Dynamic Prediction by Landmarking in Event History Analysis, Scandinavian Journal of Statistics, vol.14, issue.1, pp.70-85, 2007.
DOI : 10.1111/j.1541-0420.2005.00323.x

D. R. Vandevanter, J. S. Wagener, D. J. Pasta, E. Elkin, J. R. Jacobs et al., Pulmonary outcome prediction (POP) tools for cystic fibrosis patients, Pediatric Pulmonology, vol.43, issue.12, pp.451156-66, 2010.
DOI : 10.1164/ajrccm.159.1.9712108

G. Verbeke and E. Lesaffre, A Linear Mixed-Effects Model with Heterogeneity in the Random-Effects Population, Journal of the American Statistical Association, vol.86, issue.433, pp.217-221, 1996.
DOI : 10.1080/01621459.1989.10478736

M. Vermeulen, W. Van-der-bij, M. E. Erasmus, E. J. Duiverman, G. H. Koeter et al., Improved quality of life after lung transplantation in individuals with cystic fibrosis, Pediatric Pulmonology, vol.18, issue.5, pp.419-445, 2004.
DOI : 10.1016/S0163-8343(96)00082-5

K. Mccolley, E. F. Mccoy, A. Mckone, F. Munck, S. M. Ratjen et al., Lumacaftor-ivacaftor in patients with cystic fibrosis homozygous for phe508del cftr, N Engl J Med, vol.373, issue.3, pp.220-251, 2015.

D. W. Wang, D. Dockery, M. E. Wypij, J. Fay, and B. G. Ferris, Pulmonary function between 6 and 18 years of age, Pediatric Pulmonology, vol.123, issue.2, pp.75-88, 1993.
DOI : 10.1164/ajrccm/138.6.1415

V. Waters, E. G. Atenafu, A. Lu, Y. Yau, E. Tullis et al., Chronic Stenotrophomonas maltophilia infection and mortality or lung transplantation in cystic fibrosis patients, Journal of Cystic Fibrosis, vol.12, issue.5, pp.482-488, 2013.
DOI : 10.1016/j.jcf.2012.12.006

M. Wilschanski and P. R. Durie, Patterns of GI disease in adulthood associated with mutations in the CFTR gene, Gut, vol.56, issue.8, pp.1153-63, 2007.
DOI : 10.1136/gut.2004.062786

C. Winstanley, S. O-'brien, and M. A. Brockhurst, Pseudomonas aeruginosa Evolutionary Adaptation and Diversification in Cystic Fibrosis Chronic Lung Infections, Trends in Microbiology, vol.24, issue.5, pp.327-364, 2016.
DOI : 10.1016/j.tim.2016.01.008

URL : https://doi.org/10.1016/j.tim.2016.01.008

M. S. Wulfsohn and A. A. Tsiatis, A Joint Model for Survival and Longitudinal Data Measured with Error, Biometrics, vol.53, issue.1, pp.330-339, 1997.
DOI : 10.2307/2533118

J. R. Yankaskas, J. Mallory, and G. B. , Lung Transplantation in Cystic Fibrosis, Chest, vol.113, issue.1, pp.217-243, 1998.
DOI : 10.1378/chest.113.1.217

X. H. Ye, J. M. Lin, and . Taylor, A penalized likelihood approach to joint modeling of longitudinal measurements and time-to-event data, Statistics and Its Interface, vol.1, issue.43, pp.33-45, 2008.

B. B. Yu and P. Ghosh, Joint Modeling for Cognitive Trajectory and Risk of Dementia in the Presence of Death, Biometrics, vol.39, issue.1, pp.294-300, 2010.
DOI : 10.1136/jmg.39.6.403

Y. Y. Zheng, T. X. Cai, Y. Y. Jin, and Z. D. Feng, Evaluating Prognostic Accuracy of Biomarkers under Competing Risk, Biometrics, vol.66, issue.2, pp.388-396, 2012.
DOI : 10.1111/j.1541-0420.2009.01246.x

J. Zielenski and L. C. Tsui, Cystic Fibrosis: Genotypic and Phenotypic Variations, Annual Review of Genetics, vol.29, issue.1, pp.777-807, 1995.
DOI : 10.1146/annurev.ge.29.120195.004021

?. Nkam and L. , A 3-year prognostic score for adults with cystic fibrosis, Journal of Cystic Fibrosis, vol.16, issue.6, 2017.
DOI : 10.1016/j.jcf.2017.03.004

?. Nkam and L. , Dynamic prediction of prognosis in adults with Cystic Fibrosis : a joint latent class model. Travail en préparation

?. Nkam and L. , Joint model for longitudinal marker and time-to-event in presence of competing risks : application on cystic fibrosis, International Society for Clinical Biostatistics. Student Day. Juillet, 2017.

?. Nkam and L. , A 3-year prognostic score for adults with cystic fibrosis. European Cystic Fibrosis Society Conference, 2017.

?. Nkam and L. , Joint model for longitudinal marker (F EV 1 ) and time-to-event in presence of competing risks (death without lung transplantation and lung transplantation) in adults with cystic fibrosis. European Cystic Fibrosis Society Conference, 2017.

?. Nkam and L. , A 3-year predictive model of French patients with cystic fibrosis. European Cystic Fibrosis Society Conference, 2016.

?. Nkam and L. , Prédiction de la survie à 5 ans des patients atteints de mucoviscidose en France. Colloque Français des Jeunes Chercheurs Mucoviscidose. Février 2016

?. Nkam and L. , Joint model for longitudinal marker and time-to-event in presence of competing risks : application on cystic fibrosis, International Society for Clinical Biostatistics. Juillet, 2017.

?. Nkam and L. , Dynamic prediction of death or lung transplantation for patients with cystic fibrosis using joint model for longitudinal and time-to-event data

?. Nkam and L. , Dynamic prediction of death or lung transplantation for patients with cystic fibrosis using joint model for longitudinal and time-to-event data . North American Cystic Fibrosis Conference, 2016.

?. Nkam and L. , Prédiction du pronostic des patients atteints de mucoviscidose. Colloque Français des Jeunes Chercheurs Mucoviscidose. Février 2015