4.3 Article

Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Mathematical & Computational Biology

Propensity score weighting for covariate adjustment in randomized clinical trials

Shuxi Zeng et al.

Summary: This article discusses methods for addressing chance imbalance in baseline characteristics in randomized clinical trials, advocating the use of overlap weighting (OW) for covariate adjustment. Through simulations, OW consistently outperforms IPW in finite samples, showing better efficiency when the degree of treatment effect heterogeneity is moderate or when the outcome model is incorrectly specified.

STATISTICS IN MEDICINE (2021)

Article Health Care Sciences & Services

Subgroup balancing propensity score

Jing Dong et al.

STATISTICAL METHODS IN MEDICAL RESEARCH (2020)

Article Medicine, General & Internal

The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement

David M. Kent et al.

ANNALS OF INTERNAL MEDICINE (2020)

Editorial Material Medicine, General & Internal

Using Propensity Score Methods to Create Target Populations in Observational Clinical Research

Laine Thomas et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)

Article Health Care Sciences & Services

Precision medicine: Subgroup identification in longitudinal trajectories

Yishu Wei et al.

STATISTICAL METHODS IN MEDICAL RESEARCH (2020)

Article Statistics & Probability

PROPENSITY SCORE WEIGHTING FOR CAUSAL INFERENCE WITH MULTIPLE TREATMENTS

Fan Li

ANNALS OF APPLIED STATISTICS (2019)

Article Statistics & Probability

Balancing Covariates via Propensity Score Weighting

Fan Li et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)

Article Medicine, Research & Experimental

Restricted mean survival time: Does covariate adjustment improve precision in randomized clinical trials?

Theodore Karrison et al.

CLINICAL TRIALS (2018)

Article Oncology

Exploring heterogeneity in clinical trials with latent class analysis

Zhongheng Zhang et al.

ANNALS OF TRANSLATIONAL MEDICINE (2018)

Article Mathematical & Computational Biology

Tutorial on statistical considerations on subgroup analysis in confirmatory clinical trials

Mohamed Alosh et al.

STATISTICS IN MEDICINE (2017)

Article Economics

Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs

Jonathan M. V. Davis et al.

AMERICAN ECONOMIC REVIEW (2017)

Article Health Care Sciences & Services

A comparison of methods to adjust for continuous covariates in the analysis of randomised trials

Brennan C. Kahan et al.

BMC MEDICAL RESEARCH METHODOLOGY (2016)

Article Health Care Sciences & Services

Covariate adjustment had similar benefits in small and large randomized controlled trials

Douglas D. Thompson et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2015)

Article Mathematical & Computational Biology

Leveraging prognostic baseline variables to gain precision in randomized trials

Elizabeth Colantuoni et al.

STATISTICS IN MEDICINE (2015)

Article Mathematical & Computational Biology

Inverse probability weighting for covariate adjustment in randomized studies

Changyu Shen et al.

STATISTICS IN MEDICINE (2014)

Article Mathematical & Computational Biology

Variance reduction in randomised trials by inverse probability weighting using the propensity score

Elizabeth J. Williamson et al.

STATISTICS IN MEDICINE (2014)

Article Statistics & Probability

AGNOSTIC NOTES ON REGRESSION ADJUSTMENTS TO EXPERIMENTAL DATA: REEXAMINING FREEDMAN'S CRITIQUE

Winston Lin

ANNALS OF APPLIED STATISTICS (2013)

Article Statistics & Probability

ESTIMATING TREATMENT EFFECT HETEROGENEITY IN RANDOMIZED PROGRAM EVALUATION

Kosuke Imai et al.

ANNALS OF APPLIED STATISTICS (2013)

Article Medicine, General & Internal

Efficacy and Safety of Exercise Training in Patients With Chronic Heart Failure HF-ACTION Randomized Controlled Trial

Christopher M. O'Connor et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2009)

Article Statistics & Probability

FOR OBJECTIVE CAUSAL INFERENCE, DESIGN TRUMPS ANALYSIS

Donald B. Rubin

ANNALS OF APPLIED STATISTICS (2008)

Article Mathematical & Computational Biology

Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach

Anastasios A. Tsiatis et al.

STATISTICS IN MEDICINE (2008)

Article Medicine, General & Internal

Statistics in medicine - Reporting of subgroup analyses in clinical trials

Rui Wang et al.

NEW ENGLAND JOURNAL OF MEDICINE (2007)

Article Health Care Sciences & Services

Subgroup analyses in randomized trials: risks of subgroup-specific analyses; power and sample size for the interaction test

ST Brookes et al.

JOURNAL OF CLINICAL EPIDEMIOLOGY (2004)

Article Mathematical & Computational Biology

Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study

JK Lunceford et al.

STATISTICS IN MEDICINE (2004)

Article Statistics & Probability

The calculus of M-estimation

LA Stefanski et al.

AMERICAN STATISTICIAN (2002)

Article Statistics & Probability

Efficiency study of estimators for a treatment effect in a pretest-posttest trial

L Yang et al.

AMERICAN STATISTICIAN (2001)

Article Medicine, General & Internal

Subgroup analysis and other (mis)uses of baseline data in clinical trials

SF Assmann et al.

LANCET (2000)

Article Public, Environmental & Occupational Health

Marginal structural models and causal inference in epidemiology

JM Robins et al.

EPIDEMIOLOGY (2000)