Propensity score: Difference between revisions
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imported>Robert Badgett (New page: In statistics, a '''propensity score''' is a "conditional probability of exposure to a treatment given observed covariates."<ref>{{MeSH}}</ref> The propensity score was introduc...) |
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In [[statistics]], a '''propensity score''' is a "conditional probability of exposure to a treatment given observed covariates."<ref>{{MeSH}}</ref> | In [[statistics]], a '''propensity score''' is a "conditional probability of exposure to a treatment given observed covariates."<ref>{{MeSH}}</ref><ref name="pmid20231571">{{cite journal| author=Griswold ME, Localio AR, Mulrow C| title=Propensity score adjustment with multilevel data: setting your sites on decreasing selection bias. | journal=Ann Intern Med | year= 2010 | volume= 152 | issue= 6 | pages= 393-5 | pmid=20231571 | ||
| url=http://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&tool=clinical.uthscsa.edu/cite&retmode=ref&cmd=prlinks&id=20231571 | doi=10.1059/0003-4819-152-6-201003160-00010 }} </ref> | |||
The [[propensity score]] | The [[propensity score]] was introduced by Rosenbaum in 1983.<ref name="doi10.1093/biomet/70.1.41">{{cite journal|url=http://biomet.oxfordjournals.org/cgi/content/abstract/70/1/41 |title=The central role of the propensity score in observational studies for causal effects| journal=Biometrika |author=Rosenbaum PR, Rubin DB |authorlink= |coauthors= |date= |format= |work= |publisher= |pages= |language= |archiveurl= |archivedate= |quote= |year=1983|volume=70|issue=1|pages=41|accessdate=|doi=10.1093/biomet/70.1.41}}</ref><ref name="pmid18446836">{{cite journal |author=Hill J |title=Discussion of research using propensity-score matching: Comments on 'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003' by Peter Austin, Statistics in Medicine |journal=Stat Med |volume=27 |issue=12 |pages=2055–2061 |year=2008 |month=April |pmid=18446836 |doi=10.1002/sim.3245 |url= |issn=}}</ref> The propensity score is the "conditional probability of receiving one of the treatments under comparison ... given the observed covariates."<ref name="pmid18334500">{{cite journal| author=Schmoor C, Caputo A, Schumacher M| title=Evidence from nonrandomized studies: a case study on the estimation of causal effects. | journal=Am J Epidemiol | year= 2008 | volume= 167 | issue= 9 | pages= 1120-9 | pmid=18334500 | ||
| url=http://www.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&tool=clinical.uthscsa.edu/cite&retmode=ref&cmd=prlinks&id=18334500 | doi=10.1093/aje/kwn010 }} </ref> The propensity score can only correct for confounding by independent variables that have been ''measured''. | |||
==References== | ==References== | ||
<references/> | <references/> | ||
Revision as of 23:14, 5 April 2010
In statistics, a propensity score is a "conditional probability of exposure to a treatment given observed covariates."[1][2]
The propensity score was introduced by Rosenbaum in 1983.[3][4] The propensity score is the "conditional probability of receiving one of the treatments under comparison ... given the observed covariates."[5] The propensity score can only correct for confounding by independent variables that have been measured.
References
- ↑ Anonymous (2024), Propensity score (English). Medical Subject Headings. U.S. National Library of Medicine.
- ↑ Griswold ME, Localio AR, Mulrow C (2010). "Propensity score adjustment with multilevel data: setting your sites on decreasing selection bias.". Ann Intern Med 152 (6): 393-5. DOI:10.1059/0003-4819-152-6-201003160-00010. PMID 20231571. Research Blogging.
- ↑ Rosenbaum PR, Rubin DB (1983). "The central role of the propensity score in observational studies for causal effects". Biometrika 70 (1): 41. DOI:10.1093/biomet/70.1.41. Research Blogging.
- ↑ Hill J (April 2008). "Discussion of research using propensity-score matching: Comments on 'A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003' by Peter Austin, Statistics in Medicine". Stat Med 27 (12): 2055–2061. DOI:10.1002/sim.3245. PMID 18446836. Research Blogging.
- ↑ Schmoor C, Caputo A, Schumacher M (2008). "Evidence from nonrandomized studies: a case study on the estimation of causal effects.". Am J Epidemiol 167 (9): 1120-9. DOI:10.1093/aje/kwn010. PMID 18334500. Research Blogging.