Effect of imbalanced sampling and missing data on associations between gender norms and risk of adolescent HIV.

ABSTRACT:

Background

Despite strides towards gender equality, inequalities persist or remain unstudied, due potentially to data gaps. Although mapped, the effects of key data gaps remain unknown. This study provides a framework to measure effects of gender- and age-imbalanced and missing covariate data on gender-health research. The framework is demonstrated using a previously studied pathway for effects of pre-marital sex norms among adults on adolescent HIV risk.

Methods

After identifying gender-age-imbalanced Demographic and Health Survey (DHS) datasets, we resampled responses and restricted covariate data from a relatively complete, balanced dataset derived from the 2007 Zambian DHS to replicate imbalanced gender-age sampling and covariate missingness. Differences in model outcome

SUBMITTER: Gupta R 

PROVIDER: S-EPMC9241092 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature