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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1992 1
1995 2
1996 2
1997 1
1998 2
1999 3
2000 3
2001 7
2002 13
2003 16
2004 31
2005 62
2006 64
2007 118
2008 172
2009 190
2010 311
2011 453
2012 658
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2014 1172
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2016 2104
2017 2695
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2023 3375

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Page 1
A Review of Propensity-Score Methods and Their Use in Cardiovascular Research.
Deb S, Austin PC, Tu JV, Ko DT, Mazer CD, Kiss A, Fremes SE. Deb S, et al. Can J Cardiol. 2016 Feb;32(2):259-65. doi: 10.1016/j.cjca.2015.05.015. Epub 2015 May 23. Can J Cardiol. 2016. PMID: 26315351 Review.
The objectives of this review are to describe (1) the fundamentals of propensity score methods, (2) the techniques to assess for propensity-score model adequacy, (3) the 4 major methods for using the propensity score (matching, str …
The objectives of this review are to describe (1) the fundamentals of propensity score methods, (2) the techniques to assess f …
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.
Austin PC. Austin PC. Multivariate Behav Res. 2011 May;46(3):399-424. doi: 10.1080/00273171.2011.568786. Epub 2011 Jun 8. Multivariate Behav Res. 2011. PMID: 21818162 Free PMC article.
In particular, the propensity score is a balancing score: conditional on the propensity score, the distribution of observed baseline covariates will be similar between treated and untreated subjects. I describe 4 different propensity s …
In particular, the propensity score is a balancing score: conditional on the propensity score, the distri …
Propensity Score Matching: A Statistical Method.
Kane LT, Fang T, Galetta MS, Goyal DKC, Nicholson KJ, Kepler CK, Vaccaro AR, Schroeder GD. Kane LT, et al. Clin Spine Surg. 2020 Apr;33(3):120-122. doi: 10.1097/BSD.0000000000000932. Clin Spine Surg. 2020. PMID: 31913173
Propensity score matching (PSM) is a commonly used statistical method in orthopedic surgery research that accomplishes the removal of confounding bias from observational cohorts where the benefit of randomization is not possible. ...PSM is uniquely valuable i …
Propensity score matching (PSM) is a commonly used statistical method in orthopedic surgery research that accomplishes …
Propensity Score Matching: The 'Devil is in the Details' Where More May Be Hidden than You Know.
Reiffel JA. Reiffel JA. Am J Med. 2020 Feb;133(2):178-181. doi: 10.1016/j.amjmed.2019.08.055. Epub 2019 Oct 13. Am J Med. 2020. PMID: 31618617 Review.
Propensity score matching has been used with increasing frequency in the analyses of non-prespecified subgroups of randomized clinical trials, and in retrospective analyses of clinical trial data sets, registries, observational studies, electronic medical rec …
Propensity score matching has been used with increasing frequency in the analyses of non-prespecified subgroups of rand …
Propensity Score Matching in Observational Research.
Schober P, Vetter TR. Schober P, et al. Anesth Analg. 2020 Jun;130(6):1616-1617. doi: 10.1213/ANE.0000000000004770. Anesth Analg. 2020. PMID: 32384349 No abstract available.
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.
Austin PC. Austin PC. Stat Med. 2009 Nov 10;28(25):3083-107. doi: 10.1002/sim.3697. Stat Med. 2009. PMID: 19757444 Free PMC article.
Propensity-score matching is a popular method of using the propensity score in the medical literature. Using this approach, matched sets of treated and untreated subjects with similar values of the propensity score are forme …
Propensity-score matching is a popular method of using the propensity score in the medical literature. Us …
Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.
Austin PC. Austin PC. Pharm Stat. 2011 Mar-Apr;10(2):150-61. doi: 10.1002/pst.433. Pharm Stat. 2011. PMID: 20925139 Free PMC article.
Propensity-score matching is increasingly being used to estimate the effects of exposures using observational data. ...When estimating differences in means or risk differences, we recommend that researchers match on the logit of the propensity …
Propensity-score matching is increasingly being used to estimate the effects of exposures using observational data. ... …
Balance diagnostics after propensity score matching.
Zhang Z, Kim HJ, Lonjon G, Zhu Y; written on behalf of AME Big-Data Clinical Trial Collaborative Group. Zhang Z, et al. Ann Transl Med. 2019 Jan;7(1):16. doi: 10.21037/atm.2018.12.10. Ann Transl Med. 2019. PMID: 30788363 Free PMC article.
Propensity score matching (PSM) is a popular method in clinical researches to create a balanced covariate distribution between treated and untreated groups. ...Variance is the second central moment and should also be compared in the matched sample. Fin …
Propensity score matching (PSM) is a popular method in clinical researches to create a balanced covariate distribution …
Association of hypertension and incident diabetes in Chinese adults: a retrospective cohort study using propensity-score matching.
Wu Y, Hu H, Cai J, Chen R, Zuo X, Cheng H, Yan D. Wu Y, et al. BMC Endocr Disord. 2021 Apr 29;21(1):87. doi: 10.1186/s12902-021-00747-0. BMC Endocr Disord. 2021. PMID: 33926442 Free PMC article.
We aimed to investigate the association between hypertension and the risk of diabetes in a large cohort of the Chinese population. METHODS: This was a retrospective propensity score-matched cohort study among 211,809 Chinese adults without diabetes at baselin …
We aimed to investigate the association between hypertension and the risk of diabetes in a large cohort of the Chinese population. METHODS: …
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