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Statistical Methods in Medical Research
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An overview of methods for interval-censored data with an emphasis on applications in dentistry

Emmanuel Lesaffre

Katholieke Universiteit Leuven, Biostatistical Centre, Kapucijnenvoer 35, Leuven, Belgium, emmanuel.lesaffre{at}med.kuleuven.be

Arnost Komárek

Katholieke Universiteit Leuven, Biostatistical Centre, Kapucijnenvoer 35, Leuven, Belgium

Dominique Declerck

Katholieke Universiteit Leuven, School of Dentistry, Kapucijnenvoer 7, Leuven, Belgium

Interval-censored time-to-event data occur in many medical areas, with dentistry or AIDS research being typical representatives. This article reviews methods for the analysis of such data, with an emphasis on the use of the accelerated failure time (AFT) model. A flexible AFT model (avoiding parametric assumptions on the distribution of the error term) is described in greater detail and is used to solve a typical dental question in a longitudinal oral health study.

Statistical Methods in Medical Research, Vol. 14, No. 6, 539-552 (2005)
DOI: 10.1191/0962280205sm417oa
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