Evidence map›Paper›PMID 33982316›Full record

ArticleStatistics in medicine2021

Propensity score weighting for causal subgroup analysis.

Siyun Yang, Elizabeth Lorenzi, Georgia Papadogeorgou, Daniel M Wojdyla, Fan Li, Laine E Thomas

Abstract read
In one paragraph

Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Effect of Initiation and Continuous Adherence to ARBs Versus ACEIs on Risk of Adjudicated Mild Cognitive Impairment or Dementia.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
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  14. Robust propensity score estimation via loss function calibration.Statistical methods in medical research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Siyun YangDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0003-2895-532X
Elizabeth LorenziBerry Consultants, Austin, Texas, USA.
Georgia PapadogeorgouDepartment of Statistics, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-1982-2245
Daniel M WojdylaDuke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.
Fan LiDepartment of Statistical Science, Duke University, Durham, North Carolina, USA.ORCID 0000-0002-0390-3673
Laine E ThomasDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0002-5340-8742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common goal in comparative effectiveness research is to estimate treatment effects on prespecified subpopulations of patients. Though widely used in medical research, causal inference methods for such subgroup analysis (SGA) remain underdeveloped, particularly in observational studies. In this article, we develop a suite of analytical methods and visualization tools for causal SGA. First, we introduce the estimand of subgroup weighted average treatment effect and provide the corresponding propensity score weighting estimator. We show that balancing covariates within a subgroup bounds the bias of the estimator of subgroup causal effects. Second, we propose to use the overlap weighting (OW) method to achieve exact balance within subgroups. We further propose a method that combines OW and LASSO, to balance the bias-variance tradeoff in SGA. Finally, we design a new diagnostic graph-the Connect-S plot-for visualizing the subgroup covariate balance. Extensive simulation studies are presented to compare the proposed method with several existing methods. We apply the proposed methods to the patient-centered results for uterine fibroids (COMPARE-UF) registry data to evaluate alternative management options for uterine fibroids for relief of symptoms and quality of life.

Indexed as

Quality of LifeResearch DesignBiasCausalityHumansPropensity Scorebalancing weightscausal inferencecovariate balanceeffect modificationinteractionoverlap weightspropensity scoresubgroup analysis

Identifiers

PMID33982316
PMCPMC8360075

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.