Modified inverse propensity weighting method to alleviate estimation errors in the model with multiple endogenous variables.

ABSTRACT: Multiple mental health disorders affect on decisions of people. The disorders are also outcomes of other factors. Health studies commonly follow an inverse propensity weight (IPW) method to address estimation errors associated with the presence of one confounder or covariate number exceeding the recommended sample size. However, approaches of IPW appropriate to alleviate the estimation error associated with multiple confounders distributed unequally in the study samples were not explained in our search literature. This study used longitudinal cohort data from Christchurch Health and Development Study and demonstrated IPW approach to address two confounders with similar natures in terms of etiological process. In our sample, some individuals had no mental health disorder at all, while other

SUBMITTER: Dhakal B 

PROVIDER: S-EPMC10772818 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature