- 著者
- Koichiro Shiba Takuya Kawahara
- 出版者
- Japan Epidemiological Association
- 雑誌
- Journal of Epidemiology (ISSN:09175040)
- 巻号頁・発行日
- vol.31, no.8, pp.457-463, 2021-08-05 (Released:2021-08-05)
- 参考文献数
- 49
- 被引用文献数
- 1 44
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.
言及状況
外部データベース (DOI)
Twitter (88 users, 97 posts, 433 favorites)
#J_Epidemi Most viewed on J-Stage (September 2023):
Using Propensity Scores for Causal Inference: Pitfalls and Tips
Koichiro Shiba and Takuya Kawahara
https://t.co/p9P4DcRj54
@J_Epidemi https://t.co/nTMoxYK00b
#J_Epidemi Editors' Picks:
Using Propensity Scores for Causal Inference: Pitfalls and Tips
Koichiro Shiba and Takuya Kawahara
https://t.co/WoUFeaxO04
https://t.co/p9P4DcRj54
@J_Epidemi https://t.co/EQjb1Aza9h
#J_Epidemi Most viewed on J-STAGE (Mar. 2023):
Using Propensity Scores for Causal Inference: Pitfalls and Tips
Koichiro Shiba et al.
https://t.co/p9P4DcRj54
@J_Epidemi https://t.co/soIqeW0XLD
Using Propensity Scores for Causal Inference: Pitfalls and Tips, J Epidemiol 2021;31(8):457-463
https://t.co/hYaz6x8jlj
・Theory and practice of propensity score analysis, Annals of Clinical Epidemiology 2022;4(4):101–109
https://t.co/bEHazip3aL
・ Using Propensity Scores for Causal Inference: Pitfalls and Tips, J Epidemiol 2021;31(8):457-463
https://t.co/hYaz6x8jlj
Journal of EpidemiologyのJ-STAGEにおける月間アクセス数ランキング（2022年09月）はこちらです。
Using Propensity Scores for Causal Inference: Pitfalls and Tips https://t.co/hYaz6wQa7b
@hommedefer3 Positivityとcommon supportの話はこちらをぜひ！
https://t.co/MCnsADZDwN
@asas_mimi あとこの論文でも回帰と傾向スコアの比較が、、、
https://t.co/JdUQHiaSf2
A good read for all researchers and reviwers of prosensity score studies.
J-STAGE Articles - Using Propensity Scores for Causal Inference: Pitfalls and Tips https://t.co/POkojt9pAE
Will read later
早期公開されていた傾向スコアのチュートリアル論文、校正を経て綺麗な完全体になって公開された模様
The final version of our tutorial paper on propensity score methods is now available online.
https://t.co/Fm8fgzJe3o https://t.co/73rlfmXuND