E. Lesaffre, J. Feine, and B. Leroux, Statistical and Methodological Aspects of Oral Health Research, 2009.
DOI : 10.1002/9780470744116

T. Gerds, V. Qvist, J. Strub, C. Pipper, T. Scheike et al., Failure time analysis. Statistical and Methodological Aspects of Oral Health Research, pp.259-277, 2009.

V. Qvist, L. Laurberg, A. Poulsen, and P. Teglers, Eight???year study on conventional glass ionomer and amalgam restorations in primary teeth, Acta Odontologica Scandinavica, vol.23, issue.6, pp.37-45, 2004.
DOI : 10.1080/00016350310008689

P. Andersen, O. Borgan, R. Gill, and N. Keiding, Statistical Models Based on Counting Processes, 1993.
DOI : 10.1007/978-1-4612-4348-9

H. Frydman, Non-parametric estimation of a markov " illness-death model " process from interval-censored observations, with application to diabetes survival data, Biometrika, vol.82, pp.773-789, 1995.

P. Joly, D. Commenges, C. Helmer, and L. Letenneur, A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia, Biostatistics, vol.3, issue.3, pp.433-443, 2002.
DOI : 10.1093/biostatistics/3.3.433
URL : https://hal.archives-ouvertes.fr/inserm-00182448

P. Joly, C. Durand, C. Helmer, and D. Commenges, Estimating life expectancy of demented and institutionalized subjects from interval-censored observations of a multi-state model, Statistical Modelling, vol.9, issue.4, pp.345-360, 2009.
DOI : 10.1177/1471082X0900900405
URL : https://hal.archives-ouvertes.fr/inserm-00677164

P. Hougaard, Analysis of multivariate survival data, 2000.
DOI : 10.1007/978-1-4612-1304-8

V. Rondeau and D. Commenges, Penalized likelihood for frailty models, Lifetime Data Analysis, vol.9, issue.2, pp.139-153, 2003.
DOI : 10.1023/A:1022978802021
URL : https://hal.archives-ouvertes.fr/halshs-00121706

O. Aalen, E. Bjertness, and T. Sonju, Analysis of dependent survival data applied to lifetimes of amalgam fillings, Statistics in Medicine, vol.13, issue.16, pp.1819-1829, 1995.
DOI : 10.1002/sim.4780141610

A. Yen, T. Chen, S. Duffy, and C. Chen, Incorporating frailty in a multi-state model: application to disease natural history modelling of adenoma-carcinoma in the large bowel, Statistical Methods in Medical Research, vol.19, issue.5, pp.529-546, 2010.
DOI : 10.1177/0962280209359862

E. Lesaffre, A. Komarek, and D. Declerck, An overview of methods for interval-censored data with an emphasis on applications in dentistry, Statistical Methods in Medical Research, vol.14, issue.6, pp.539-552, 2005.
DOI : 10.1191/0962280205sm417oa

D. Commenges and A. Gégout-petit, Likelihood for Generally Coarsened Observations from Multistate or Counting Process Models, Scandinavian Journal of Statistics, vol.38, issue.2, pp.432-450, 2007.
DOI : 10.1006/jmva.1998.1807
URL : https://hal.archives-ouvertes.fr/hal-00194266

J. Grüger, R. Kay, and M. Schumacher, The Validity of Inferences Based on Incomplete Observations in Disease State Models, Biometrics, vol.47, issue.2, pp.595-605, 1991.
DOI : 10.2307/2532149

R. Oller, G. Gómez, and M. Calle, Interval censoring: identifiability and the constant-sum property, Biometrika, vol.94, issue.1, pp.61-70, 2007.
DOI : 10.1093/biomet/asm002

L. Duchateau and P. Janssen, The Frailty Model, 2008.

D. Marquardt, An Algorithm for Least-Squares Estimation of Nonlinear Parameters, Journal of the Society for Industrial and Applied Mathematics, vol.11, issue.2, pp.431-441, 1963.
DOI : 10.1137/0111030

G. Verbeke and G. Molenberghs, Linear Mixed Models for Longitudinal Data, 2000.
DOI : 10.1007/978-1-4612-2294-1_3

R. Gill and J. Robins, Sequential Models for Coarsening and Missingness, Proceedings of the first Seattle Symposium in Biostatistics: Survival Analysis, 1997.
DOI : 10.1007/978-1-4684-6316-3_15

A. Komárek and E. Lesaffre, The regression analysis of correlated interval-censored data: illustration using accelerated failure time models with flexible distributional assumptions, Statistical Modelling, vol.9, issue.4, pp.299-319, 2009.
DOI : 10.1177/1471082X0900900403