Alternative approaches for confounding adjustment in observational studies using weighting based on the propensity score: a primer for practitioners

被引：359

作者：

Desai, Rishi J. ^{[1
,2
]}

Franklin, Jessica M. ^{[1
,2
]}

机构：

[1] Brigham & Womens Hosp, Div Pharmacoepidemiol & Pharmacoecon, 1620 Tremont St, Boston, MA 02120 USA

[2] Harvard Med Sch, 1620 Tremont St, Boston, MA 02120 USA

来源：

BMJ-BRITISH MEDICAL JOURNAL | 2019年 / 367卷

关键词：

CAUSAL INFERENCE; LOGISTIC-REGRESSION; PERFORMANCE; SELECTION; SETTINGS; EXPOSURE; OUTCOMES; COMPARE; MODELS; RISK;

D O I：

10.1136/bmj.l5657

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

This report aims to provide methodological guidance to help practitioners select the most appropriate weighting method based on propensity scores for their analysis out of many available options (eg, inverse probability treatment weights, standardised mortality ratio weights, fine stratification weights, overlap weights, and matching weights), and outlines recommendations for transparent reporting of studies using weighting based on the propensity scores.

引用

页数：10

共 50 条

[1] Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research
Yang, Jeff Y.
Webster-Clark, Michael
Lund, Jennifer L.
Sandler, Robert S.
Dellon, Evan S.
Sturmer, Til
GASTROINTESTINAL ENDOSCOPY, 2019, 90 (03) : 360 - 369
[2] An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Austin, Peter C.
MULTIVARIATE BEHAVIORAL RESEARCH, 2011, 46 (03) : 399 - 424
[3] Confronting "confounding by health system use" in Medicare Part D: comparative effectiveness of propensity score approaches to confounding adjustment
Polinski, Jennifer M.
Schneeweiss, Sebastian
Glynn, Robert J.
Lii, Joyce
Rassen, Jeremy A.
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2012, 21 : 90 - 98
[4] Covariate Balance in Bayesian Propensity Score Approaches for Observational Studies
Chen, Jianshen
Kaplan, David
JOURNAL OF RESEARCH ON EDUCATIONAL EFFECTIVENESS, 2015, 8 (02) : 280 - 302
[5] Confounding Adjustment Via a High-Dimensional Propensity Score: An Application Using THIN
Toh, Darren
Garcia Rodriguez, Luis A.
Hernan, Miguel A.
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2011, 20 : S126 - S127
[6] Authors Should Pay Attention to the Confounding by Indication of Observational Study Using Propensity Score
Oka, Yoshinari
Matsuda, Hiroaki
Miyazaki, Masashi
THERAPEUTIC APHERESIS AND DIALYSIS, 2018, 22 (01) : 95 - 96
[7] Estimating causal effects in observational studies for survival data with a cure fraction using propensity score adjustment
Wang, Ziwen
Wang, Chenguang
Wang, Xiaoguang
BIOMETRICAL JOURNAL, 2023, 65 (08)
[8] Using propensity score adjustment method in genetic association studies
Chattopadhyay, Amrita Sengupta
Lin, Ynig-Chao
Hsieh, Ai-Ru
Chang, Chien-Ching
Lian, Ie-Bin
Fann, Cathy S. J.
COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2016, 62 : 1 - 11
[9] A Propensity-score-based Fine Stratification Approach for Confounding Adjustment When Exposure Is Infrequent
Desai, Rishi J.
Rothman, Kenneth J.
Bateman, Brian T.
Hernandez-Diaz, Sonia
Huybrechts, Krista F.
EPIDEMIOLOGY, 2017, 28 (02) : 249 - 257
[10] REDUCING BIAS IN OBSERVATIONAL STUDIES USING SUBCLASSIFICATION ON THE PROPENSITY SCORE
ROSENBAUM, PR
RUBIN, DB
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1984, 79 (387) : 516 - 524

← 1 2 3 4 5 →