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Journal Abstract Search

268 related items for PubMed ID: 26475303

  • 1. Multiple imputation for non-response when estimating HIV prevalence using survey data.
    Chinomona A, Mwambi H.
    BMC Public Health; 2015 Oct 16; 15():1059. PubMed ID: 26475303
    [Abstract] [Full Text] [Related]

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K, Williams J, Qi YP, Gutman J, Yeung L, Mai C, Finkelstain J, Mehta S, Pons-Duran C, Menéndez C, Moraleda C, Rogers L, Daniels K, Green P.
    Cochrane Database Syst Rev; 2022 Feb 01; 2(2022):. PubMed ID: 36321557
    [Abstract] [Full Text] [Related]

  • 3. Estimating HIV Prevalence in Zimbabwe Using Population-Based Survey Data.
    Chinomona A, Mwambi HG.
    PLoS One; 2015 Feb 01; 10(12):e0140896. PubMed ID: 26624280
    [Abstract] [Full Text] [Related]

  • 4. Review: a gentle introduction to imputation of missing values.
    Donders AR, van der Heijden GJ, Stijnen T, Moons KG.
    J Clin Epidemiol; 2006 Oct 01; 59(10):1087-91. PubMed ID: 16980149
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  • 6. Multiple imputation: dealing with missing data.
    de Goeij MC, van Diepen M, Jager KJ, Tripepi G, Zoccali C, Dekker FW.
    Nephrol Dial Transplant; 2013 Oct 01; 28(10):2415-20. PubMed ID: 23729490
    [Abstract] [Full Text] [Related]

  • 7. Analytical methods used in estimating the prevalence of HIV/AIDS from demographic and cross-sectional surveys with missing data: a systematic review.
    Mosha NR, Aluko OS, Todd J, Machekano R, Young T.
    BMC Med Res Methodol; 2020 Mar 14; 20(1):65. PubMed ID: 32171240
    [Abstract] [Full Text] [Related]

  • 8. Approach to addressing missing data for electronic medical records and pharmacy claims data research.
    Bounthavong M, Watanabe JH, Sullivan KM.
    Pharmacotherapy; 2015 Apr 14; 35(4):380-7. PubMed ID: 25884526
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  • 10. Simultaneous alleviation of verification and reference standard biases in a community-based tuberculosis screening study using Bayesian latent class analysis.
    Keter AK, Vanobberghen F, Lynen L, Van Heerden A, Fehr J, Olivier S, Wong EB, Glass TR, Reither K, Goetghebeur E, Jacobs BKM.
    PLoS One; 2024 Apr 14; 19(6):e0305126. PubMed ID: 38857227
    [Abstract] [Full Text] [Related]

  • 11. Predicting missing quality of life data that were later recovered: an empirical comparison of approaches.
    Fielding S, Fayers P, Ramsay C.
    Clin Trials; 2010 Aug 14; 7(4):333-42. PubMed ID: 20576672
    [Abstract] [Full Text] [Related]

  • 12. Multiple imputation for handling missing outcome data when estimating the relative risk.
    Sullivan TR, Lee KJ, Ryan P, Salter AB.
    BMC Med Res Methodol; 2017 Sep 06; 17(1):134. PubMed ID: 28877666
    [Abstract] [Full Text] [Related]

  • 13. Analyses of Sensitivity to the Missing-at-Random Assumption Using Multiple Imputation With Delta Adjustment: Application to a Tuberculosis/HIV Prevalence Survey With Incomplete HIV-Status Data.
    Leacy FP, Floyd S, Yates TA, White IR.
    Am J Epidemiol; 2017 Feb 15; 185(4):304-315. PubMed ID: 28073767
    [Abstract] [Full Text] [Related]

  • 14. Correcting for selection bias in HIV prevalence estimates: an application of sample selection models using data from population-based HIV surveys in seven sub-Saharan African countries.
    Palma AM, Marra G, Bray R, Saito S, Awor AC, Jalloh MF, Kailembo A, Kirungi W, Mgomella GS, Njau P, Voetsch AC, Ward JA, Bärnighausen T, Harling G.
    J Int AIDS Soc; 2022 Aug 15; 25(8):e25954. PubMed ID: 35929226
    [Abstract] [Full Text] [Related]

  • 15. Treatments of Missing Values in Large National Data Affect Conclusions: The Impact of Multiple Imputation on Arthroplasty Research.
    Ondeck NT, Fu MC, Skrip LA, McLynn RP, Su EP, Grauer JN.
    J Arthroplasty; 2018 Mar 15; 33(3):661-667. PubMed ID: 29153865
    [Abstract] [Full Text] [Related]

  • 16. Handling missing quality of life data in HIV clinical trials: what is practical?
    Fairclough DL, Thijs H, Huang IC, Finnern HW, Wu AW.
    Qual Life Res; 2008 Feb 15; 17(1):61-73. PubMed ID: 18071926
    [Abstract] [Full Text] [Related]

  • 17. Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.
    Ouma J, Jeffery C, Valadez JJ, Wanyenze RK, Todd J, Levin J.
    BMC Public Health; 2020 Mar 23; 20(1):379. PubMed ID: 32293367
    [Abstract] [Full Text] [Related]

  • 18. Item non-response imputation in the Korea National Health and Nutrition Examination Survey.
    Son S, Moon H, An H.
    Epidemiol Health; 2022 Mar 23; 44():e2022096. PubMed ID: 36317400
    [Abstract] [Full Text] [Related]

  • 19. A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study.
    De Silva AP, Moreno-Betancur M, De Livera AM, Lee KJ, Simpson JA.
    BMC Med Res Methodol; 2017 Jul 25; 17(1):114. PubMed ID: 28743256
    [Abstract] [Full Text] [Related]

  • 20. Comparing single and multiple imputation strategies for harmonizing substance use data across HIV-related cohort studies.
    Javanbakht M, Lin J, Ragsdale A, Kim S, Siminski S, Gorbach P.
    BMC Med Res Methodol; 2022 Apr 03; 22(1):90. PubMed ID: 35369872
    [Abstract] [Full Text] [Related]

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