Using observational study data as an external control group for a clinical trial: an empirical comparison of methods to account for longitudinal missing data

被引：0
作者：
Vibeke Norvang
Espen A. Haavardsholm
Sara K. Tedeschi
Houchen Lyu
Joseph Sexton
Maria D. Mjaavatten
Tore K. Kvien
Daniel H. Solomon
Kazuki Yoshida
机构：
[1] Diakonhjemmet Hospital,Division of Rheumatology and Research
[2] Department of Medicine,Division of Rheumatology, Inflammation, and Immunity
[3] Brigham and Women’s Hospital/Harvard Medical School,Faculty of Medicine
[4] University of Oslo,Department of Orthopedics
[5] Harvard Medical School,undefined
[6] Chinese PLA General Hospital,undefined
来源：
BMC Medical Research Methodology | / 22卷
关键词：
External control group; Missing data; Multiple imputation; Inverse probability weighting;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Missing data methods for the assessment of surrogate outcomes and treatment mechanisms in clinical trial substudies
    Galbraith, S
    Marschner, IC
    Simes, J
    STATISTICS IN MEDICINE, 2006, 25 (03) : 415 - 431
  • [22] PATTERN RECOGNITION OF LONGITUDINAL TRIAL DATA WITH NONIGNORABLE MISSINGNESS: AN EMPIRICAL CASE STUDY
    Fang, Hua
    Espy, Kimberly Andrews
    Rizzo, Maria L.
    Stopp, Christian
    Wiebe, Sandra A.
    Stroup, Walter W.
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2009, 8 (03) : 491 - 513
  • [23] Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial
    McPherson, Sterling
    Barbosa-Leiker, Celestina
    McDonell, Michael
    Howell, Donelle
    Roll, John
    HUMAN PSYCHOPHARMACOLOGY-CLINICAL AND EXPERIMENTAL, 2013, 28 (05) : 506 - 515
  • [24] Review of guidelines and literature for handling missing data in longitudinal clinical trials with a case study
    Liu, M
    Wei, L
    Zhang, J
    PHARMACEUTICAL STATISTICS, 2006, 5 (01) : 7 - 18
  • [25] Comparison of missing data methods in clustered survival data using Bayesian adaptive B-Spline estimation
    Yoo, Hanna
    Lee, Jae Won
    COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2018, 25 (02) : 159 - 172
  • [26] Bayesian multiple imputation for missing multivariate longitudinal data from a Parkinson's disease clinical trial
    Luo, Sheng
    Lawson, Andrew B.
    He, Bo
    Elm, Jordan J.
    Tilley, Barbara C.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2016, 25 (02) : 821 - 837
  • [27] Control-Based Imputation and Delta-Adjustment Stress Test for Missing Data Analysis in Longitudinal Clinical Trials
    Liu, G. Frank
    Pang, Lei
    STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 2017, 9 (02): : 186 - 194
  • [28] Identifying patterns of item missing survey data using latent groups: an observational study
    Barnett, Adrian G.
    McElwee, Paul
    Nathan, Andrea
    Burton, Nicola W.
    Turrell, Gavin
    BMJ OPEN, 2017, 7 (10):
  • [29] Bayesian sensitivity analysis methods to evaluate bias due to misclassification and missing data using informative priors and external validation data
    Luta, George
    Ford, Melissa B.
    Bondy, Melissa
    Shields, Peter G.
    Stamey, James D.
    CANCER EPIDEMIOLOGY, 2013, 37 (02) : 121 - 126
  • [30] Comparison of the effects of imputation methods for missing data in predictive modelling of cohort study datasets
    JiaHang Li
    ShuXia Guo
    RuLin Ma
    Jia He
    XiangHui Zhang
    DongSheng Rui
    YuSong Ding
    Yu Li
    LeYao Jian
    Jing Cheng
    Heng Guo
    BMC Medical Research Methodology, 24
12345