Cox proportional hazards models with left truncation and time-varying coefficient: Application of age at event as outcome in cohort studies

Minjin Kim, Myunghee Cho Paik, Jiyeong Jang, Ying K. Cheung, Joshua Willey, Mitchell S.V. Elkind, Ralph L. Sacco

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

When analyzing time-to-event cohort data, two different ways of choosing a time scale have been discussed in the literature: time-on-study or age at onset of disease. One advantage of choosing the latter is interpretability of the hazard ratio as a function of age. To handle the analysis of age at onset in a principled manner, we present an analysis of the Cox Proportional Hazards model with time-varying coefficient for left-truncated and right-censored data. In the analysis of Northern Manhattan Study (NOMAS) with age at onset of stroke as outcome, we demonstrate that well-established risk factors may be important only around a certain age span and less established risk factors can have a strong effect in a certain age span.

Original languageEnglish (US)
Pages (from-to)405-419
Number of pages15
JournalBiometrical Journal
Volume59
Issue number3
DOIs
StatePublished - May 2017

Keywords

  • Estimating equation
  • Local linear fitting
  • Profile likelihood
  • Time-to-event cohort data
  • Time-varying coefficient

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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