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IJMPR Didactic Paper: Weighting for Causal Inference in Mental Health Research

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Autor(es):
Cohn, Eric R. ; Zubizarreta, Jose R.
Número total de Autores: 2
Tipo de documento: Artigo Científico
Fonte: INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH; v. 34, n. 2, p. 11-pg., 2025-06-01.
Resumo

Objective: Inverse probability weighting is a fundamental and general methodology for estimating the causal effects of exposures and interventions, but standard approaches to constructing such weights are often suboptimal. Methods: In this paper, we describe a recent approach for constructing such weights that directly balances covariates while optimizing the stability of the resulting weighting estimator. Results: To illustrate the use of this approach in mental health research, we present an exploratory study of the effects of exposure to violence on the risk of suicide attempt. Conclusions: The direct balancing approach to weighting should be given strong consideration in empirical research due to its robustness and transparency in building weighting estimators. (AU)

Processo FAPESP: 03/00204-3 - Estudo epidemiológico dos transtornos psiquiátricos na região metropolitana de São Paulo: prevalências, fatores de risco e sobrecarga social e econômica
Beneficiário:Laura Helena Silveira Guerra de Andrade
Modalidade de apoio: Auxílio à Pesquisa - Temático