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Journal Abstract Search

284 related items for PubMed ID: 20882358

  • 1. Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of personal mean score, full information maximum likelihood, multiple imputation, and hot deck techniques applied to the SF-36 in the French 2003 decennial health survey.
    Peyre H, Leplège A, Coste J.
    Qual Life Res; 2011 Mar; 20(2):287-300. PubMed ID: 20882358
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  • 3. Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project.
    Holman R, Glas CA, Lindeboom R, Zwinderman AH, de Haan RJ.
    Health Qual Life Outcomes; 2004 Jun 16; 2():29. PubMed ID: 15200681
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  • 4. Missing data on the Center for Epidemiologic Studies Depression Scale: a comparison of 4 imputation techniques.
    Bono C, Ried LD, Kimberlin C, Vogel B.
    Res Social Adm Pharm; 2007 Mar 16; 3(1):1-27. PubMed ID: 17350555
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  • 5. 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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  • 6. A simple imputation algorithm reduced missing data in SF-12 health surveys.
    Perneger TV, Burnand B.
    J Clin Epidemiol; 2005 Feb 28; 58(2):142-9. PubMed ID: 15680747
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  • 8. Dealing with missing data in a multi-question depression scale: a comparison of imputation methods.
    Shrive FM, Stuart H, Quan H, Ghali WA.
    BMC Med Res Methodol; 2006 Dec 13; 6():57. PubMed ID: 17166270
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  • 9. Sequential Multiple Imputation for Real-World Health-Related Quality of Life Missing Data after Bariatric Surgery.
    Sun S, Luo N, Stenberg E, Lindholm L, Sahlén KG, Franklin KA, Cao Y.
    Int J Environ Res Public Health; 2022 Aug 30; 19(17):. PubMed ID: 36078543
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  • 10. Empirical Comparison of Imputation Methods for Multivariate Missing Data in Public Health.
    Pan S, Chen S.
    Int J Environ Res Public Health; 2023 Jan 14; 20(2):. PubMed ID: 36674279
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  • 11. Managing missing items in the Fagerström Test for Nicotine Dependence: a simulation study.
    Gutenkunst SL, Bell ML.
    BMC Med Res Methodol; 2022 May 20; 22(1):145. PubMed ID: 35596136
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  • 12. Two-stage maximum likelihood approach for item-level missing data in regression.
    Chen L, Savalei V, Rhemtulla M.
    Behav Res Methods; 2020 Dec 20; 52(6):2306-2323. PubMed ID: 32333330
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  • 13. Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach.
    Wang C, Stokes T, Steele RJ, Wedderkopp N, Shrier I.
    Clin Epidemiol; 2022 Dec 20; 14():1387-1403. PubMed ID: 36411940
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  • 14. Missing data imputation in quality-of-life assessment: imputation for WHOQOL-BREF.
    Lin TH.
    Pharmacoeconomics; 2006 Dec 20; 24(9):917-25. PubMed ID: 16942125
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  • 17. PROMIS Global Health item nonresponse: is it better to impute missing item responses before computing T-scores?
    Thompson NR, Katzan IL, Honomichl RD, Lapin BR.
    Qual Life Res; 2020 Feb 20; 29(2):537-546. PubMed ID: 31630291
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  • 18. The ability of different imputation methods for missing values in mental measurement questionnaires.
    Xu X, Xia L, Zhang Q, Wu S, Wu M, Liu H.
    BMC Med Res Methodol; 2020 Feb 27; 20(1):42. PubMed ID: 32103723
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  • 20. Missing-data analysis: socio- demographic, clinical and lifestyle determinants of low response rate on self- reported psychological and nutrition related multi- item instruments in the context of the ATTICA epidemiological study.
    Tsiampalis T, Panagiotakos DB.
    BMC Med Res Methodol; 2020 Jun 08; 20(1):148. PubMed ID: 32513107
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