Evidence map›Paper›PMID 38705726›Full record

ArticleStatistics in medicine2024

Propensity score matching for estimating a marginal hazard ratio.

Tongrong Wang, Honghe Zhao, Shu Yang, Shuhan Tang, Zhanglin Cui, Li Li, Douglas E Faries

Abstract read
In one paragraph

Article in Statistics in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Tongrong WangEli Lilly and Company, Indianapolis, Indiana, USA.
Honghe ZhaoDepartment of Statistics, North Carolina State University, Raleigh, North Carolina, USA.
Shu YangDepartment of Statistics, North Carolina State University, Raleigh, North Carolina, USA.ORCID 0000-0001-7703-707X
Shuhan TangEli Lilly and Company, Indianapolis, Indiana, USA.ORCID 0000-0002-4978-2360
Zhanglin CuiEli Lilly and Company, Indianapolis, Indiana, USA.
Li LiEli Lilly and Company, Indianapolis, Indiana, USA.
Douglas E FariesEli Lilly and Company, Indianapolis, Indiana, USA.ORCID 0000-0001-8952-7738

Funding

Transforming Clinical Trials for Elderly and Rare Cancers through Intelligent and Robust Information BorrowingR01AG066883 · NIA · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Xiaofei Wang, Shu Yang · 2020 to 2026
$2.0M
Spatial Causal Inference for Wildland Fire Smoke Effects on Air Pollution and HealthR01ES031651 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI REICH, BRIAN J., YANG, SHU · 2020 to 2024
$1.2M
National Science Foundation DMS 1811245NIA NIH HHS R01 AG066883NIEHS NIH HHS R01 ES031651NIH HHS 1R01AG066883NIH HHS 1R01ES031651
6 · The paper itself

Abstract

Propensity score matching is commonly used to draw causal inference from observational survival data. However, its asymptotic properties have yet to be established, and variance estimation is still open to debate. We derive the statistical properties of the propensity score matching estimator of the marginal causal hazard ratio based on matching with replacement and a fixed number of matches. We also propose a double-resampling technique for variance estimation that takes into account the uncertainty due to propensity score estimation prior to matching.

Indexed as

Propensity ScoreProportional Hazards ModelsCausalityComputer SimulationHumansModels, StatisticalObservational Studies as TopicSurvival Analysiscausal survival analysisdouble resamplingmartingalepropensity score matchingvariance estimation

Identifiers

PMID38705726
PMCPMC11178458

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Registered trials

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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.