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Journal of Adolescent Research
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Multilevel Risk Models for Retrospective Age-Of-Onset Data

School Children’s First Cigarette

Andrew Pickles

University of Manchester

Kevin Pickering

Colin Taylor

King’s College

Stephen Sutton

University College London

Shuying Yang

University of Manchester

Survival analysis provides a natural conceptual framework for considering risk.However, survey data on age of onset typically possess measurement error and sample design complexities that are absent from the usual settings in which survival analysis is applied.The authors describe a random effects discrete time survival model that addresses these problems.They illustrate its use by an analysis of retrospective report data on the age of onset of smoking from two cross-sectional school-based studies.

Journal of Adolescent Research, Vol. 16, No. 2, 188-204 (2001)
DOI: 10.1177/0743558401162005
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Home page
 Stat Methods Med ResHome page
S. Rabe-Hesketh, S. Yang, and A. Pickles
Multilevel models for censored and latent responses
Statistical Methods in Medical Research, December 1, 2001; 10(6): 409 - 427.
[Abstract] [PDF]