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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

366 related items for PubMed ID: 16162026

  • 1. Handling missing data in patient-level cost-effectiveness analysis alongside randomised clinical trials.
    Manca A, Palmer S.
    Appl Health Econ Health Policy; 2005; 4(2):65-75. PubMed ID: 16162026
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  • 5. Analyses of cost data in economic evaluations conducted alongside randomized controlled trials.
    Doshi JA, Glick HA, Polsky D.
    Value Health; 2006; 9(5):334-40. PubMed ID: 16961551
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  • 7. Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines.
    Díaz-Ordaz K, Kenward MG, Cohen A, Coleman CL, Eldridge S.
    Clin Trials; 2014 Oct; 11(5):590-600. PubMed ID: 24902924
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  • 8. Multiple imputation methods for bivariate outcomes in cluster randomised trials.
    DiazOrdaz K, Kenward MG, Gomes M, Grieve R.
    Stat Med; 2016 Sep 10; 35(20):3482-96. PubMed ID: 26990655
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  • 9. How to deal with missing longitudinal data in cost of illness analysis in Alzheimer's disease-suggestions from the GERAS observational study.
    Belger M, Haro JM, Reed C, Happich M, Kahle-Wrobleski K, Argimon JM, Bruno G, Dodel R, Jones RW, Vellas B, Wimo A.
    BMC Med Res Methodol; 2016 Jul 18; 16():83. PubMed ID: 27430559
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  • 10. Multiple imputation strategies for zero-inflated cost data in economic evaluations: which method works best?
    MacNeil Vroomen J, Eekhout I, Dijkgraaf MG, van Hout H, de Rooij SE, Heymans MW, Bosmans JE.
    Eur J Health Econ; 2016 Nov 18; 17(8):939-950. PubMed ID: 26497027
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  • 11. 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 18; 33(8):1051-63. PubMed ID: 23913915
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  • 15. 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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  • 16. Handling Missing Data in Health Economics and Outcomes Research (HEOR): A Systematic Review and Practical Recommendations.
    Mukherjee K, Gunsoy NB, Kristy RM, Cappelleri JC, Roydhouse J, Stephenson JJ, Vanness DJ, Ramachandran S, Onwudiwe NC, Pentakota SR, Karcher H, Di Tanna GL.
    Pharmacoeconomics; 2023 Dec 22; 41(12):1589-1601. PubMed ID: 37490207
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  • 17. 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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