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Journal Abstract Search

242 related items for PubMed ID: 15347546

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  • 2. Assessing balance in measured baseline covariates when using many-to-one matching on the propensity-score.
    Austin PC.
    Pharmacoepidemiol Drug Saf; 2008 Dec; 17(12):1218-25. PubMed ID: 18972455
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  • 3. Reduced disability at five years with early treatment of inflammatory polyarthritis: results from a large observational cohort, using propensity models to adjust for disease severity.
    Wiles NJ, Lunt M, Barrett EM, Bukhari M, Silman AJ, Symmons DP, Dunn G.
    Arthritis Rheum; 2001 May; 44(5):1033-42. PubMed ID: 11352234
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  • 4. Goodness-of-fit diagnostics for the propensity score model when estimating treatment effects using covariate adjustment with the propensity score.
    Austin PC.
    Pharmacoepidemiol Drug Saf; 2008 Dec; 17(12):1202-17. PubMed ID: 18972454
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  • 5. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study.
    Austin PC, Grootendorst P, Normand SL, Anderson GM.
    Stat Med; 2007 Feb 20; 26(4):754-68. PubMed ID: 16783757
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  • 10. The relative ability of different propensity score methods to balance measured covariates between treated and untreated subjects in observational studies.
    Austin PC.
    Med Decis Making; 2009 Feb 20; 29(6):661-77. PubMed ID: 19684288
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  • 11. Propensity score estimation with boosted regression for evaluating causal effects in observational studies.
    McCaffrey DF, Ridgeway G, Morral AR.
    Psychol Methods; 2004 Dec 20; 9(4):403-25. PubMed ID: 15598095
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  • 12. Addressing the issue of channeling bias in observational studies with propensity scores analysis.
    Lobo FS, Wagner S, Gross CR, Schommer JC.
    Res Social Adm Pharm; 2006 Mar 20; 2(1):143-51. PubMed ID: 17138506
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  • 14. Using propensity scores subclassification to estimate effects of longitudinal treatments: an example using a new diabetes medication.
    Segal JB, Griswold M, Achy-Brou A, Herbert R, Bass EB, Dy SM, Millman AE, Wu AW, Frangakis CE.
    Med Care; 2007 Oct 20; 45(10 Supl 2):S149-57. PubMed ID: 17909374
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  • 16. Propensity score methods and their application in nephrology research.
    Barnieh L, James MT, Zhang J, Hemmelgarn BR.
    J Nephrol; 2011 Oct 20; 24(3):256-62. PubMed ID: 21404223
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  • 17. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003.
    Austin PC.
    Stat Med; 2008 May 30; 27(12):2037-49. PubMed ID: 18038446
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  • 18. 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 30; 57(12):1223-31. PubMed ID: 15617947
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  • 19. Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder.
    Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V.
    Pharmacoepidemiol Drug Saf; 2005 Apr 30; 14(4):227-38. PubMed ID: 15386700
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  • 20. Performance of disease risk scores, propensity scores, and traditional multivariable outcome regression in the presence of multiple confounders.
    Arbogast PG, Ray WA.
    Am J Epidemiol; 2011 Sep 01; 174(5):613-20. PubMed ID: 21749976
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