A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality
Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smo...
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| Veröffentlicht in: | Multivariate behavioral research Jg. 46; H. 1; S. 119 - 151 |
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| 1. Verfasser: | |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
Taylor & Francis Group
01.01.2011
Psychology Press Taylor & Francis Ltd Taylor & Francis |
| Schlagworte: | |
| ISSN: | 0027-3171, 1532-7906, 1532-7906 |
| Online-Zugang: | Volltext |
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| Abstract | Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment. |
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| AbstractList | Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment. Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment.Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment. Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment. (Contains 4 tables and 5 figures.) Propensity score methods allow investigators to estimate causal treatment effects using observational or nonrandomized data. In this article we provide a practical illustration of the appropriate steps in conducting propensity score analyses. For illustrative purposes, we use a sample of current smokers who were discharged alive after being hospitalized with a diagnosis of acute myocardial infarction. The exposure of interest was receipt of smoking cessation counseling prior to hospital discharge and the outcome was mortality with 3 years of hospital discharge. We illustrate the following concepts: first, how to specify the propensity score model; second, how to match treated and untreated participants on the propensity score; third, how to compare the similarity of baseline characteristics between treated and untreated participants after stratifying on the propensity score, in a sample matched on the propensity score, or in a sample weighted by the inverse probability of treatment; fourth, how to estimate the effect of treatment on outcomes when using propensity score matching, stratification on the propensity score, inverse probability of treatment weighting using the propensity score, or covariate adjustment using the propensity score. Finally, we compare the results of the propensity score analyses with those obtained using conventional regression adjustment. [PUBLICATION ABSTRACT] |
| Author | Austin, Peter C. |
| AuthorAffiliation | Institute for Clinical Evaluative Sciences and University of Toronto |
| AuthorAffiliation_xml | – name: Institute for Clinical Evaluative Sciences and University of Toronto |
| Author_xml | – sequence: 1 givenname: Peter C. surname: Austin fullname: Austin, Peter C. organization: Institute for Clinical Evaluative Sciences and University of Toronto |
| BackLink | http://eric.ed.gov/ERICWebPortal/detail?accno=EJ915381$$DView record in ERIC https://www.ncbi.nlm.nih.gov/pubmed/22287812$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1002/sim.2781 10.1002/pds.1673 10.1007/978-1-4899-4541-9 10.1158/1055-9965.2012.13.12 10.1093/oxfordjournals.aje.a114593 10.1007/978-1-4757-3462-1 10.1002/sim.2328 10.1002/sim.3854 10.1162/003465304323023651 10.1002/pds.986 10.1002/sim.1903 10.1007/978-1-4757-2728-9 10.1093/biomet/71.3.431 10.1002/sim.2580 10.1016/j.ahj.2007.04.012 10.1177/0272989X09341755 10.1161/CIRCOUTCOMES.108.790634 10.1002/sim.1589 10.1006/pmed.2000.0644 10.1111/j.2517-6161.1983.tb01242.x 10.1002/sim.2618 10.1016/j.jclinepi.2007.07.011 10.1093/epirev/mxg002 10.1001/jama.2009.1731 10.2202/1557-4679.1146 10.2307/2684560 10.1080/03610910902859574 10.1111/j.1467-985X.2007.00527.x 10.1016/j.jtcvs.2007.07.021 10.1001/archinte.168.18.1961 10.1002/sim.3697 10.1016/j.jclinepi.2008.11.004 10.1002/sim.1851 10.7326/0003-4819-137-6-200209170-00009 10.2307/2290085 10.1002/sim.2053 10.1093/pan/mpl013 10.2307/2683903 10.2307/2288398 10.1001/archinte.160.7.939 10.1016/0895-4356(94)90191-0 10.1198/000313004X5824 10.1001/archinte.168.18.1950 10.1002/sim.2174 10.2202/1557-4679.1285 10.1002/sim.3150 10.1016/j.jclinepi.2009.03.012 |
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| Title | A Tutorial and Case Study in Propensity Score Analysis: An Application to Estimating the Effect of In-Hospital Smoking Cessation Counseling on Mortality |
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