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    Results: 1 to 20 of 131

    1.

    The use of complete-case and multiple imputation-based analyses in molecular epidemiology studies that assess interaction effects.

    Desai M, Esserman DA, Gammon MD, Terry MB.

    Epidemiol Perspect Innov. 2011 Oct 6;8(1):5.

    PMID:
    21978450
    [PubMed]
    Free PMC Article
    2.

    Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values.

    White IR, Carlin JB.

    Stat Med. 2010 Dec 10;29(28):2920-31.

    PMID:
    20842622
    [PubMed - indexed for MEDLINE]
    3.

    Comparison of methods for handling missing data on immunohistochemical markers in survival analysis of breast cancer.

    Ali AM, Dawson SJ, Blows FM, Provenzano E, Ellis IO, Baglietto L, Huntsman D, Caldas C, Pharoah PD.

    Br J Cancer. 2011 Feb 15;104(4):693-9. Epub 2011 Jan 25.

    PMID:
    21266980
    [PubMed - indexed for MEDLINE]
    Free PMC Article
    4.

    Correction of bias from non-random missing longitudinal data using auxiliary information.

    Wang C, Hall CB.

    Stat Med. 2010 Mar 15;29(6):671-9.

    PMID:
    20029935
    [PubMed - indexed for MEDLINE]
    5.

    Final Report on Carcinogens Background Document for Styrene.

    National Toxicology Program.

    Rep Carcinog Backgr Doc. 2008 Sep;(8-5978):i-398.

    PMID:
    20737009
    [PubMed - as supplied by publisher]
    6.

    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]
    7.

    Sensitivity analysis after multiple imputation under missing at random: a weighting approach.

    Carpenter JR, Kenward MG, White IR.

    Stat Methods Med Res. 2007 Jun;16(3):259-75.

    PMID:
    17621471
    [PubMed - indexed for MEDLINE]
    9.

    Final Report on Carcinogens Background Document for Formaldehyde.

    National Toxicology Program.

    Rep Carcinog Backgr Doc. 2010 Jan;(10-5981):i-512.

    PMID:
    20737003
    [PubMed - as supplied by publisher]
    10.

    Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example.

    Knol MJ, Janssen KJ, Donders AR, Egberts AC, Heerdink ER, Grobbee DE, Moons KG, Geerlings MI.

    J Clin Epidemiol. 2010 Jul;63(7):728-36. Epub 2010 Mar 25.

    PMID:
    20346625
    [PubMed - indexed for MEDLINE]
    11.

    Dealing with missing outcome data in randomized trials and observational studies.

    Groenwold RH, Donders AR, Roes KC, Harrell FE Jr, Moons KG.

    Am J Epidemiol. 2012 Feb 1;175(3):210-7. Epub 2011 Dec 23.

    PMID:
    22262640
    [PubMed - indexed for MEDLINE]
    12.

    The use of multiple imputation for the analysis of missing data.

    Sinharay S, Stern HS, Russell D.

    Psychol Methods. 2001 Dec;6(4):317-29. Review.

    PMID:
    11778675
    [PubMed - indexed for MEDLINE]
    13.

    [Multiple imputation of missing at random data: General points and presentation of a Monte-Carlo method].

    Cottrell G, Cot M, Mary JY.

    Rev Epidemiol Sante Publique. 2009 Oct;57(5):361-72. Epub 2009 Aug 11. French.

    PMID:
    19674855
    [PubMed - indexed for MEDLINE]
    14.

    Impact of missing data due to drop-outs on estimators for rates of change in longitudinal studies: a simulation study.

    Touloumi G, Babiker AG, Pocock SJ, Darbyshire JH.

    Stat Med. 2001 Dec 30;20(24):3715-28.

    PMID:
    11782028
    [PubMed - indexed for MEDLINE]
    15.

    Handling missing quality of life data in HIV clinical trials: what is practical?

    Fairclough DL, Thijs H, Huang IC, Finnern HW, Wu AW.

    Qual Life Res. 2008 Feb;17(1):61-73. Epub 2007 Dec 11.

    PMID:
    18071926
    [PubMed - indexed for MEDLINE]
    16.

    [Meta-analysis of the Italian studies on short-term effects of air pollution].

    Biggeri A, Bellini P, Terracini B; Italian MISA Group.

    Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71. Italian.

    PMID:
    11515188
    [PubMed - indexed for MEDLINE]
    17.

    Review: a gentle introduction to imputation of missing values.

    Donders AR, van der Heijden GJ, Stijnen T, Moons KG.

    J Clin Epidemiol. 2006 Oct;59(10):1087-91. Epub 2006 Jul 11. Review.

    PMID:
    16980149
    [PubMed - indexed for MEDLINE]
    18.

    [Multiple imputation and complete case analysis in logistic regression models: a practical assessment of the impact of incomplete covariate data].

    Camargos VP, César CC, Caiaffa WT, Xavier CC, Proietti FA.

    Cad Saude Publica. 2011 Dec;27(12):2299-313. Portuguese.

    PMID:
    22218574
    [PubMed - in process]
    Free Article
    19.

    Out of sight, not out of mind: strategies for handling missing data.

    Buhi ER, Goodson P, Neilands TB.

    Am J Health Behav. 2008 Jan-Feb;32(1):83-92.

    PMID:
    18021036
    [PubMed - indexed for MEDLINE]
    20.

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