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Items: 17

1.

The role of the c-statistic in variable selection for propensity score models.

Westreich D, Cole SR, Funk MJ, Brookhart MA, Stürmer T.

Pharmacoepidemiol Drug Saf. 2011 Mar;20(3):317-20. doi: 10.1002/pds.2074. Epub 2010 Dec 9.

2.

Indications for propensity scores and review of their use in pharmacoepidemiology.

Glynn RJ, Schneeweiss S, Stürmer T.

Basic Clin Pharmacol Toxicol. 2006 Mar;98(3):253-9. Review.

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Invited commentary: propensity scores.

Joffe MM, Rosenbaum PR.

Am J Epidemiol. 1999 Aug 15;150(4):327-33. Review.

PMID:
10453808
6.

Quantitative assessment of unobserved confounding is mandatory in nonrandomized intervention studies.

Groenwold RH, Hak E, Hoes AW.

J Clin Epidemiol. 2009 Jan;62(1):22-8. doi: 10.1016/j.jclinepi.2008.02.011. Epub 2008 Jul 10. Review.

PMID:
18619797
7.

Reporting of covariate selection and balance assessment in propensity score analysis is suboptimal: a systematic review.

Ali MS, Groenwold RH, Belitser SV, Pestman WR, Hoes AW, Roes KC, Boer Ad, Klungel OH.

J Clin Epidemiol. 2015 Feb;68(2):112-21. doi: 10.1016/j.jclinepi.2014.08.011. Epub 2014 Nov 26. Review.

PMID:
25433444
8.

An overview of the objectives of and the approaches to propensity score analyses.

Heinze G, Jüni P.

Eur Heart J. 2011 Jul;32(14):1704-8. doi: 10.1093/eurheartj/ehr031. Epub 2011 Feb 28. Review.

PMID:
21362706
9.

Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review.

Shah BR, Laupacis A, Hux JE, Austin PC.

J Clin Epidemiol. 2005 Jun;58(6):550-9. Epub 2005 Apr 19. Review.

PMID:
15878468
10.

Introduction to propensity scores.

Williamson EJ, Forbes A.

Respirology. 2014 Jul;19(5):625-35. doi: 10.1111/resp.12312. Epub 2014 May 29. Review.

11.

Methods to assess intended effects of drug treatment in observational studies are reviewed.

Klungel OH, Martens EP, Psaty BM, Grobbee DE, Sullivan SD, Stricker BH, Leufkens HG, de Boer A.

J Clin Epidemiol. 2004 Dec;57(12):1223-31. Review.

PMID:
15617947
12.

[Time-dependent confounding in the estimation of treatment effects in randomised trials with multimodal therapies--an illustration of the problem of time-dependent confounding by causal graphs].

Zietemann VD, Schuster T, Duell TH.

Gesundheitswesen. 2015 Jan;77(1):62-6. doi: 10.1055/s-0033-1355405. Epub 2013 Nov 7. Review. German.

PMID:
24203687
13.

Clinical trials: how to assess confounding and why so.

Cleophas TJ, Zwinderman AH.

Curr Clin Pharmacol. 2007 May;2(2):129-33. Review.

PMID:
18690860
14.

[Propensity scores in observational research].

Groenwold RH.

Ned Tijdschr Geneeskd. 2013;157(29):A6179. Review. Dutch.

PMID:
23859107
15.

[Propensity score methods for creating covariate balance in observational studies].

Pattanayak CW, Rubin DB, Zell ER.

Rev Esp Cardiol. 2011 Oct;64(10):897-903. doi: 10.1016/j.recesp.2011.06.008. Epub 2011 Aug 27. Review. Spanish.

16.

Improving participant selection in disease management programmes: insights gained from propensity score stratification.

Linden A, Adams JL.

J Eval Clin Pract. 2008 Oct;14(5):914-8. doi: 10.1111/j.1365-2753.2008.01091.x. Review.

PMID:
19018926
17.

When and how to use instrumental variables in palliative care research.

Penrod JD, Goldstein NE, Deb P.

J Palliat Med. 2009 May;12(5):471-4. doi: 10.1089/jpm.2009.9631. Review. No abstract available.

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