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    Results: 1 to 20 of 120

    1.

    A simple method for analyzing data from a randomized trial with a missing binary outcome.

    Baker SG, Freedman LS.

    BMC Med Res Methodol. 2003 May 6;3:8. Epub 2003 May 6.PMID: 12734019 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Simple adjustments for randomized trials with nonrandomly missing or censored outcomes arising from informative covariates.

    Baker SG, Fitzmaurice GM, Freedman LS, Kramer BS.

    Biostatistics. 2006 Jan;7(1):29-40. Epub 2005 May 27.PMID: 15923407 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Randomized trials, generalizability, and meta-analysis: graphical insights for binary outcomes.

    Baker SG, Kramer BS.

    BMC Med Res Methodol. 2003 Jun 16;3:10. Epub 2003 Jun 16.PMID: 12809566 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    Imputation methods for missing outcome data in meta-analysis of clinical trials.

    Higgins JP, White IR, Wood AM.

    Clin Trials. 2008;5(3):225-39.PMID: 18559412 [PubMed - indexed for MEDLINE]Related articlesFree article

    5.

    Eliciting and using expert opinions about dropout bias in randomized controlled trials.

    White IR, Carpenter J, Evans S, Schroter S.

    Clin Trials. 2007;4(2):125-39.PMID: 17456512 [PubMed - indexed for MEDLINE]Related articles

    6.

    Methods for the analysis of binary outcome results in the presence of missing data.

    Delucchi KL.

    J Consult Clin Psychol. 1994 Jun;62(3):569-75.PMID: 8063983 [PubMed - indexed for MEDLINE]Related articles

    8.

    The polyp prevention trial continued follow-up study: no effect of a low-fat, high-fiber, high-fruit, and -vegetable diet on adenoma recurrence eight years after randomization.

    Lanza E, Yu B, Murphy G, Albert PS, Caan B, Marshall JR, Lance P, Paskett ED, Weissfeld J, Slattery M, Burt R, Iber F, Shike M, Kikendall JW, Brewer BK, Schatzkin A; Polyp Prevention Trial Study Group.

    Cancer Epidemiol Biomarkers Prev. 2007 Sep;16(9):1745-52.PMID: 17855692 [PubMed - indexed for MEDLINE]Related articlesFree article

    9.

    Adjusting for partially missing baseline measurements in randomized trials.

    White IR, Thompson SG.

    Stat Med. 2005 Apr 15;24(7):993-1007.PMID: 15570623 [PubMed - indexed for MEDLINE]Related articles

    10.

    Prolonged effect of calcium supplementation on risk of colorectal adenomas in a randomized trial.

    Grau MV, Baron JA, Sandler RS, Wallace K, Haile RW, Church TR, Beck GJ, Summers RW, Barry EL, Cole BF, Snover DC, Rothstein R, Mandel JS.

    J Natl Cancer Inst. 2007 Jan 17;99(2):129-36.PMID: 17227996 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Covariate adjustment in randomized trials with binary outcomes: targeted maximum likelihood estimation.

    Moore KL, van der Laan MJ.

    Stat Med. 2009 Jan 15;28(1):39-64.PMID: 18985634 [PubMed - indexed for MEDLINE]Related articles

    12.

    In a randomized controlled trial, missing data led to biased results regarding anxiety.

    Ross L, Thomsen BL, Boesen EH, Johansen C.

    J Clin Epidemiol. 2004 Nov;57(11):1131-7.PMID: 15567628 [PubMed - indexed for MEDLINE]Related articles

    13.

    Aspirin for the chemoprevention of colorectal adenomas: meta-analysis of the randomized trials.

    Cole BF, Logan RF, Halabi S, Benamouzig R, Sandler RS, Grainge MJ, Chaussade S, Baron JA.

    J Natl Cancer Inst. 2009 Feb 18;101(4):256-66. Epub 2009 Feb 10.PMID: 19211452 [PubMed - indexed for MEDLINE]Related articles

    14.

    Adjusting for observable selection bias in block randomized trials.

    Ivanova A, Barrier RC Jr, Berger VW.

    Stat Med. 2005 May 30;24(10):1537-46.PMID: 15723426 [PubMed - indexed for MEDLINE]Related articles

    15.

    Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.

    Qu Y, Lipkovich I.

    Stat Med. 2009 Apr 30;28(9):1402-14.PMID: 19222021 [PubMed - indexed for MEDLINE]Related articles

    16.

    A graphical sensitivity analysis for clinical trials with non-ignorable missing binary outcome.

    Hollis S.

    Stat Med. 2002 Dec 30;21(24):3823-34.PMID: 12483769 [PubMed - indexed for MEDLINE]Related articles

    17.

    Dietary flavonoids and colorectal adenoma recurrence in the Polyp Prevention Trial.

    Bobe G, Sansbury LB, Albert PS, Cross AJ, Kahle L, Ashby J, Slattery ML, Caan B, Paskett E, Iber F, Kikendall JW, Lance P, Daston C, Marshall JR, Schatzkin A, Lanza E.

    Cancer Epidemiol Biomarkers Prev. 2008 Jun;17(6):1344-53.PMID: 18559549 [PubMed - indexed for MEDLINE]Related articlesFree article

    18.

    Comparison of data analysis strategies for intent-to-treat analysis in pre-test-post-test designs with substantial dropout rates.

    Salim A, Mackinnon A, Christensen H, Griffiths K.

    Psychiatry Res. 2008 Sep 30;160(3):335-45. Epub 2008 Aug 20.PMID: 18718673 [PubMed - indexed for MEDLINE]Related articles

    19.

    Allowing for uncertainty due to missing data in meta-analysis--part 1: two-stage methods.

    White IR, Higgins JP, Wood AM.

    Stat Med. 2008 Feb 28;27(5):711-27.PMID: 17703496 [PubMed - indexed for MEDLINE]Related articles

    20.

    Fiber, sex, and colorectal adenoma: results of a pooled analysis.

    Jacobs ET, Lanza E, Alberts DS, Hsu CH, Jiang R, Schatzkin A, Thompson PA, Martínez ME.

    Am J Clin Nutr. 2006 Feb;83(2):343-9.PMID: 16469993 [PubMed - indexed for MEDLINE]Related articlesFree article

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