Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples

4.5k indexed citations

Abstract

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This paper, published in 2009, received 4.5k indexed citations. Written by Peter C. Austin covering the research area of Statistics and Probability and Economics and Econometrics. It is primarily cited by scholars working on Surgery (1.1k citations), Cardiology and Cardiovascular Medicine (873 citations) and Pulmonary and Respiratory Medicine (706 citations). Published in Statistics in Medicine.

In The Last Decade

doi.org/10.1002/sim.3697 →

Countries where authors are citing Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples

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Citations

This map shows the geographic impact of Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples more than expected).

Fields of papers citing Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1002/sim.3697.

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