Multilevel risk models for retrospective age-of-onset data: School children's first cigarette

A Pickles, K Pickering, C Taylor, S Sutton, S Y Yang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)188 - 204
Number of pages17
JournalJOURNAL OF ADOLESCENT RESEARCH
Volume16
Issue number2
DOIs
Publication statusPublished - Mar 2001

Fingerprint

Dive into the research topics of 'Multilevel risk models for retrospective age-of-onset data: School children's first cigarette'. Together they form a unique fingerprint.

Cite this