An overview of methods for interval-censored data with an emphasis on applications in dentistry.
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.
Lesaffre
Emmanuel
E
Katholieke Universiteit Leuven, Biostatistical Centre, Kapucijnenvoer 35, B-3000 Leuven, Belgium. emmanuel.lesaffre@med.kuleuven.be
Komárek
Arnost
A
Declerk
Dominique
D
D001530:Belgium; D001641:Bicuspid; D002648:Child; D003627:Data Interpretation, Statistical; D003813:Dentistry / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D015233:Models, Statistical; D013997:Time Factors; D014078:Tooth Eruption / Q000502:physiology