Handling Missing Data in a Duloxetine Population Pharmacokinetic/Pharmacodynamic Model – Imputation Methods and Selection Models

被引:0
|
作者
Eunice Yuen
Ivelina Gueorguieva
Leon Aarons
机构
[1] Eli Lilly and Co.,Global PK/PD and Pharmacometrics
[2] University of Manchester,Manchester Pharmacy School
来源
Pharmaceutical Research | 2014年 / 31卷
关键词
Bayesian methods; dropout; imputation methods; population pharmacokinetics/pharmacodynamics; selection model;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2829 / 2843
页数:14
相关论文
共 50 条
  • [41] Handling missing data: analysis of a challenging data set using multiple imputation
    Pampaka, Maria
    Hutcheson, Graeme
    Williams, Julian
    INTERNATIONAL JOURNAL OF RESEARCH & METHOD IN EDUCATION, 2016, 39 (01) : 19 - 37
  • [42] Handling missing data for the identification of charged particles in a multilayer detector: A comparison between different imputation methods
    Riggi, S.
    Riggi, D.
    Riggi, F.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2015, 780 : 81 - 90
  • [43] Comparison of missing data imputation methods using weather data
    Nida, Hafiza
    Kashif, Muhammad
    Khan, Muhammad Imran
    Ghamkhar, Madiha
    PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES, 2023, 60 (02): : 327 - 336
  • [44] How handling missing data may impact conclusions: A comparison of six different imputation methods for categorical questionnaire data
    Stayseth, Marianne Riksheim
    Clausen, Thomas
    Roislien, Jo
    SAGE OPEN MEDICINE, 2019, 7
  • [45] Randomization tests in clinical trials with multiple imputation for handling missing data
    Ivanova, Anastasia
    Lederman, Seth
    Stark, Philip B.
    Sullivan, Gregory
    Vaughn, Ben
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2022, 32 (03) : 441 - 449
  • [46] Handling Missing Data in Presence of Categorical Variables: a New Imputation Procedure
    Ferrari, Pier Alda
    Barbiero, Alessandro
    Manzi, Giancarlo
    NEW PERSPECTIVES IN STATISTICAL MODELING AND DATA ANALYSIS, 2011, : 473 - 480
  • [47] A comparison of imputation methods for the consecutive missing temperature data
    Kim, Hee-Kyung
    Kang, In-Kyeong
    Lee, Jae-Won
    Lee, Yung-Seop
    KOREAN JOURNAL OF APPLIED STATISTICS, 2016, 29 (03) : 549 - 557
  • [48] Some imputation methods for missing data in sample surveys
    Singh, G. N.
    Maurya, S.
    Khetan, M.
    Kadilar, Cem
    Hacettepe Journal of Mathematics and Statistics, 2016, 45 (06): : 1865 - 1880
  • [49] Ensemble imputation methods for missing software engineering data
    Twala, B
    Cartwright, M
    2005 11TH INTERNATIONAL SYMPOSIUM ON SOFTWARE METRICS (METRICS), 2005, : 268 - 277
  • [50] Multiple imputation as a flexible tool for missing data handling in clinical research
    Enders, Craig K.
    BEHAVIOUR RESEARCH AND THERAPY, 2017, 98 : 4 - 18