Statistical analysis of self-reported health conditions in cohort studies: handling of missing onset age.

ABSTRACT:

Objectives

This paper discusses methodological challenges in epidemiological association analysis of a time-to-event outcome and hypothesized risk factors, where age/time at the onset of the outcome may be missing in some cases, a condition commonly encountered when the outcome is self-reported.

Study design and setting

A cohort study with long-term follow-up for outcome ascertainment such as the Childhood Cancer Survivor Study (CCSS), a large cohort study of 5-year survivors of childhood cancer diagnosed in 1970-1999 in which occurrences and age at onset of various chronic health conditions (CHCs) are self-reported in surveys. Simple methods for handling missing onset age and their potential bias in the exposure-outcome association inference are discussed. The interval-cens

SUBMITTER: Mirzaei S 

PROVIDER: S-EPMC11416898 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature