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PUBMED FOR HANDHELDS

Journal Abstract Search

345 related items for PubMed ID: 23913915

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  • 2. Imputation strategies for missing binary outcomes in cluster randomized trials.
    Ma J, Akhtar-Danesh N, Dolovich L, Thabane L, CHAT investigators.
    BMC Med Res Methodol; 2011 Feb 16; 11():18. PubMed ID: 21324148
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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. Is the whole larger than the sum of its parts? Impact of missing data imputation in economic evaluation conducted alongside randomized controlled trials.
    Michalowsky B, Hoffmann W, Kennedy K, Xie F.
    Eur J Health Econ; 2020 Jul 18; 21(5):717-728. PubMed ID: 32108274
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  • 13. Missing continuous outcomes under covariate dependent missingness in cluster randomised trials.
    Hossain A, Diaz-Ordaz K, Bartlett JW.
    Stat Methods Med Res; 2017 Jun 18; 26(3):1543-1562. PubMed ID: 27177885
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  • 15. Multiple imputation by predictive mean matching in cluster-randomized trials.
    Bailey BE, Andridge R, Shoben AB.
    BMC Med Res Methodol; 2020 Mar 30; 20(1):72. PubMed ID: 32228491
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  • 16. A Scoping Review of Item-Level Missing Data in Within-Trial Cost-Effectiveness Analysis.
    Ling X, Gabrio A, Mason A, Baio G.
    Value Health; 2022 Sep 30; 25(9):1654-1662. PubMed ID: 35341690
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  • 17. Imputation of missing covariate in randomized controlled trials with a continuous outcome: Scoping review and new results.
    Kayembe MT, Jolani S, Tan FES, van Breukelen GJP.
    Pharm Stat; 2020 Nov 30; 19(6):840-860. PubMed ID: 32510791
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  • 18. Bayesian hierarchical models for cost-effectiveness analyses that use data from cluster randomized trials.
    Grieve R, Nixon R, Thompson SG.
    Med Decis Making; 2010 Nov 30; 30(2):163-75. PubMed ID: 19675321
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