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Journal Abstract Search

453 related items for PubMed ID: 25344817

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  • 2. Method variation in the impact of missing data on response shift detection.
    Schwartz CE, Sajobi TT, Verdam MG, Sebille V, Lix LM, Guilleux A, Sprangers MA.
    Qual Life Res; 2015 Mar; 24(3):521-8. PubMed ID: 25008260
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  • 4. Relative importance measures for reprioritization response shift.
    Lix LM, Sajobi TT, Sawatzky R, Liu J, Mayo NE, Huang Y, Graff LA, Walker JR, Ediger J, Clara I, Sexton K, Carr R, Bernstein CN.
    Qual Life Res; 2013 May; 22(4):695-703. PubMed ID: 22700163
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  • 5. RespOnse Shift ALgorithm in Item response theory (ROSALI) for response shift detection with missing data in longitudinal patient-reported outcome studies.
    Guilleux A, Blanchin M, Vanier A, Guillemin F, Falissard B, Schwartz CE, Hardouin JB, Sébille V.
    Qual Life Res; 2015 Mar; 24(3):553-64. PubMed ID: 25477228
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  • 6. 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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  • 7. Changes in quality of life after epilepsy surgery: the role of reprioritization response shift.
    Sajobi TT, Fiest KM, Wiebe S.
    Epilepsia; 2014 Sep 18; 55(9):1331-8. PubMed ID: 24965190
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  • 10. Is there a role for expectation maximization imputation in addressing missing data in research using WOMAC questionnaire? Comparison to the standard mean approach and a tutorial.
    Ghomrawi HM, Mandl LA, Rutledge J, Alexiades MM, Mazumdar M.
    BMC Musculoskelet Disord; 2011 May 23; 12():109. PubMed ID: 21605458
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  • 11. Item response theory and factor analysis as a mean to characterize occurrence of response shift in a longitudinal quality of life study in breast cancer patients.
    Anota A, Bascoul-Mollevi C, Conroy T, Guillemin F, Velten M, Jolly D, Mercier M, Causeret S, Cuisenier J, Graesslin O, Hamidou Z, Bonnetain F.
    Health Qual Life Outcomes; 2014 Mar 08; 12():32. PubMed ID: 24606836
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  • 14. [Simulation study on missing data imputation methods for longitudinal data in cohort studies].
    Li YM, Zhao P, Yang YH, Wang JX, Yan H, Chen FY.
    Zhonghua Liu Xing Bing Xue Za Zhi; 2021 Oct 10; 42(10):1889-1894. PubMed ID: 34814629
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  • 15. Exploring the response shift effect on the quality of life of patients with schizophrenia: an application of the random forest method.
    Boucekine M, Boyer L, Baumstarck K, Millier A, Ghattas B, Auquier P, Toumi M.
    Med Decis Making; 2015 Apr 10; 35(3):388-97. PubMed ID: 25398623
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  • 16. Consequences of handling missing data for treatment response in osteoarthritis: a simulation study.
    Olsen IC, Kvien TK, Uhlig T.
    Osteoarthritis Cartilage; 2012 Aug 10; 20(8):822-8. PubMed ID: 22441031
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  • 17. Response shift in the presence of missing data.
    Fairclough DL.
    Qual Life Res; 2015 Mar 10; 24(3):565-6. PubMed ID: 25627669
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  • 20. Missing data in longitudinal studies: cross-sectional multiple imputation provides similar estimates to full-information maximum likelihood.
    Ferro MA.
    Ann Epidemiol; 2014 Jan 10; 24(1):75-7. PubMed ID: 24210708
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