Using Propensity Scores for Causal Inference: Pitfalls and Tips
| العنوان: | Using Propensity Scores for Causal Inference: Pitfalls and Tips |
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| المؤلفون: | Koichiro Shiba, Takuya Kawahara |
| المصدر: | Journal of Epidemiology Journal of Epidemiology, Vol 31, Iss 8, Pp 457-463 (2021) |
| بيانات النشر: | Japan Epidemiological Association, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Medicine (General), Matching (statistics), Epidemiology, 030209 endocrinology & metabolism, Machine learning, computer.software_genre, Special Article, 03 medical and health sciences, R5-920, 0302 clinical medicine, Empirical research, Humans, Medicine, 030212 general & internal medicine, target population, Propensity Score, Models, Statistical, business.industry, matching, Inverse probability weighting, Statistical model, General Medicine, Theory and Statistics, Outcome (probability), Causality, Causal inference, Propensity score matching, Observational study, Artificial intelligence, business, computer, inverse probability weighting |
| الوصف: | Methods based on propensity score (PS) have become increasingly popular as a tool for causal inference. A better understanding of the relative advantages and disadvantages of the alternative analytic approaches can contribute to the optimal choice and use of a specific PS method over other methods. In this article, we provide an accessible overview of causal inference from observational data and two major PS-based methods (matching and inverse probability weighting), focusing on the underlying assumptions and decision-making processes. We then discuss common pitfalls and tips for applying the PS methods to empirical research and compare the conventional multivariable outcome regression and the two alternative PS-based methods (ie, matching and inverse probability weighting) and discuss their similarities and differences. Although we note subtle differences in causal identification assumptions, we highlight that the methods are distinct primarily in terms of the statistical modeling assumptions involved and the target population for which exposure effects are being estimated. |
| تدمد: | 1349-9092 0917-5040 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07dd8e50a44e906dc498d5ba1442beceTest https://doi.org/10.2188/jea.je20210145Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....07dd8e50a44e906dc498d5ba1442bece |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13499092 09175040 |
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