Comparison of survival analysis approaches to modelling age at first sex among youth in Kisesa Tanzania.

ABSTRACT:

Background

Many studies analyze sexual and reproductive event data using descriptive life tables. Survival analysis has better power to estimate factors associated with age at first sex (AFS), but proportional hazards models may not be right model to use. This study used accelerated failure time (AFT) models, restricted Mean Survival time model (RMST) models, with semi and non-parametric methods to assess age at first sex (AFS), factors associated with AFS, and verify underlying assumptions for each analysis.

Methods

Self-reported sexual debut data was used from respondents 15-24 years in eight cross-sectional surveys between 1994-2016, and from adolescents' survey in an observational community study (2019-2020) in northwest Tanzania. Median AFS was estimated in each survey

SUBMITTER: Materu J 

PROVIDER: S-EPMC10484422 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature