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  1. 201
    A systematic evaluation of compliance and reporting of patient-reported outcome endpoints in ovarian cancer randomised controlled trials: implications for generalisability and clinical practice
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  2. 202
    Age–dependent capture–recapture models and unequal time intervals
    by Sanz-Aguilar, A., Pradel, R., Tavecchia, G.
    Published 2019-06-01
    Subjects: “...missing data...”
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  3. 203
    O desafio da informação longitudinal: um "passeio guiado" sobre modelação hierárquica, "tracking" e informação omissa com um conjunto de dados do estudo de Muzambinho The challenge of longitudinal information: a "guided tour" on hierarchical modeling, tracking and missing information with a set of data from Muzambinho study
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  4. 204
    The validity and power of extreme sampling schemes for mediation analysis
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  5. 205
    Comparison of Single and MICE Imputation Methods for Missing Values: A Simulation Study
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  6. 206
    The (Ir)Responsibility of (Under)Estimating Missing Data
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  7. 207
    The Ability of Different Imputation Methods to Preserve the Significant Genes and Pathways in Cancer
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  8. 208
    Multiple Imputation by Chained Equations (MICE): Implementation in Stata
    by Patrick Royston, Ian R. White
    Published 2011-12-01
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  9. 209
    Statistical modeling of longitudinal survey data with binary outcomes
    by Ghosh, Sunita
    Published 2007
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  10. 210
    Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease
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  11. 211
    Influence of Pattern of Missing Data on Performance of Imputation Methods: An Example from National Data on Drug Injection in Prisons
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  12. 212
    Problems in dealing with missing data and informative censoring in clinical trials
    by Shih Weichung
    Published 2002-01-01
    Subjects: “...informative missing data...”
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  13. 213
    Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study
    by R. P. Cornish, J. Macleod, J. R. Carpenter, K. Tilling
    Published 2017-12-01
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  14. 214
    Exploratory factor analysis and reliability analysis with missing data: A simple method for SPSS users
    by Bruce Weaver, Hillary Maxwell
    Published 2014-09-01
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  15. 215
    Population Size Estimation Using Multiple Incomplete Lists with Overcoverage
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  16. 216
    Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse
    by Andridge Rebecca R., Little Roderick J.A.
    Published 2020-09-01
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  17. 217
    Comparison Of EM Algorithm and Standard Imputation Methods For Missing Data: A Questionnaire Study On Diabetic Patients
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  18. 218
    Evaluating the Observed Log-Likelihood Function in Two-Level Structural Equation Modeling with Missing Data: From Formulas to R Code
    by Yves Rosseel
    Published 2021-06-01
    Subjects: “...missing data...”
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    Article
  19. 219
    Quantifying Power and Bias in Cluster Randomized Trials Using Mixed Models vs. Cluster-Level Analysis in the Presence of Missing Data: A Simulation Study
    by Vincent, Brenda
    Published 2016
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  20. 220
    Performance Comparison of Imputation Methods for Mixed Data Missing at Random with Small and Large Sample Data Set with Different Variability
    by Afari, Kyei
    Published 2021
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