Causal Mediation Analysis for Stochastic Interventions
| العنوان: | Causal Mediation Analysis for Stochastic Interventions |
|---|---|
| المؤلفون: | Nima S. Hejazi, Iván Díaz |
| المصدر: | Journal of the Royal Statistical Society Series B: Statistical Methodology. 82:661-683 |
| بيانات النشر: | Oxford University Press (OUP), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Statistics and Probability, Multivariate statistics, Average treatment effect, 05 social sciences, 050401 social sciences methods, Estimator, Sample (statistics), 01 natural sciences, Regression, 010104 statistics & probability, Efficient estimator, 0504 sociology, Causal inference, Econometrics, 0101 mathematics, Statistics, Probability and Uncertainty, Categorical variable, Statistics - Methodology, Mathematics |
| الوصف: | Summary Mediation analysis in causal inference has traditionally focused on binary exposures and deterministic interventions, and a decomposition of the average treatment effect in terms of direct and indirect effects. We present an analogous decomposition of the population intervention effect, defined through stochastic interventions on the exposure. Population intervention effects provide a generalized framework in which a variety of interesting causal contrasts can be defined, including effects for continuous and categorical exposures. We show that identification of direct and indirect effects for the population intervention effect requires weaker assumptions than its average treatment effect counterpart, under the assumption of no mediator–outcome confounders affected by exposure. In particular, identification of direct effects is guaranteed in experiments that randomize the exposure and the mediator. We propose various estimators of the direct and indirect effects, including substitution, reweighted and efficient estimators based on flexible regression techniques, allowing for multivariate mediators. Our efficient estimator is asymptotically linear under a condition requiring n1/4-consistency of certain regression functions. We perform a simulation study in which we assess the finite sample properties of our proposed estimators. We present the results of an illustrative study where we assess the effect of participation in a sports team on the body mass index among children, using mediators such as exercise habits, daily consumption of snacks and overweight status. |
| تدمد: | 1467-9868 1369-7412 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95e7dbbcb697173398c913015d0939c5 https://doi.org/10.1111/rssb.12362 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....95e7dbbcb697173398c913015d0939c5 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14679868 13697412 |
|---|