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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

446 related items for PubMed ID: 30297167

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  • 5. Consequences of handling missing data for treatment response in osteoarthritis: a simulation study.
    Olsen IC, Kvien TK, Uhlig T.
    Osteoarthritis Cartilage; 2012 Aug; 20(8):822-8. PubMed ID: 22441031
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  • 10. Multiple imputation for patient reported outcome measures in randomised controlled trials: advantages and disadvantages of imputing at the item, subscale or composite score level.
    Rombach I, Gray AM, Jenkinson C, Murray DW, Rivero-Arias O.
    BMC Med Res Methodol; 2018 Aug 28; 18(1):87. PubMed ID: 30153796
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  • 11. Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?
    Mukaka M, White SA, Terlouw DJ, Mwapasa V, Kalilani-Phiri L, Faragher EB.
    Trials; 2016 Jul 22; 17():341. PubMed ID: 27450066
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  • 15. Missing data in randomized controlled trials of rheumatoid arthritis with radiographic outcomes: a simulation study.
    Baron G, Ravaud P, Samson A, Giraudeau B.
    Arthritis Rheum; 2008 Jan 15; 59(1):25-31. PubMed ID: 18163406
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  • 17. Multiple imputation methods for handling missing data in cost-effectiveness analyses that use data from hierarchical studies: an application to cluster randomized trials.
    Gomes M, Díaz-Ordaz K, Grieve R, Kenward MG.
    Med Decis Making; 2013 Nov 15; 33(8):1051-63. PubMed ID: 23913915
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  • 20. Multiple imputation using auxiliary imputation variables that only predict missingness can increase bias due to data missing not at random.
    Curnow E, Cornish RP, Heron JE, Carpenter JR, Tilling K.
    BMC Med Res Methodol; 2024 Oct 07; 24(1):231. PubMed ID: 39375597
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