Imputation is beneficial for handling missing data in predictive models

被引：82
|
作者：
Steyerberg, Ewout W.
van Veen, Mirjam
机构：
[1] Erasmus MC, Dept Publ Hlth, Ctr Med Decis Making, NL-3000 CA Rotterdam, Netherlands
[2] Erasmus MC, Dept Pediat, NL-3000 CA Rotterdam, Netherlands
来源：
JOURNAL OF CLINICAL EPIDEMIOLOGY | 2007年 / 60卷 / 09期
关键词：
D O I：
10.1016/j.jclinepi.2007.03.003
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
引用
收藏
页码：979 / 979
页数：1
相关论文
共 50 条
  • [31] Multiple imputation for handling missing outcome data when estimating the relative risk
    Thomas R. Sullivan
    Katherine J. Lee
    Philip Ryan
    Amy B. Salter
    BMC Medical Research Methodology, 17
  • [32] A Safe-Region Imputation Method for Handling Medical Data with Missing Values
    Huang, Shu-Fen
    Cheng, Ching-Hsue
    SYMMETRY-BASEL, 2020, 12 (11): : 1 - 19
  • [33] Rebutting Existing Misconceptions About Multiple Imputation as a Method for Handling Missing Data
    van Ginkel, Joost R.
    Linting, Marielle
    Rippe, Ralph C. A.
    van der Voort, Anja
    JOURNAL OF PERSONALITY ASSESSMENT, 2020, 102 (03) : 297 - 308
  • [34] Some Classes of Logarithmic-Type Imputation Techniques for Handling Missing Data
    Pandey, Awadhesh K.
    Singh, G. N.
    Bhattacharyya, D.
    Ali, Abdulrazzaq Q.
    Al-Thubaiti, Samah
    Yakout, H. A.
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [35] Multiple Imputation with Predictive Mean Matching Method for Numerical Missing Data
    Akmam, Emha Fathul
    Siswantining, Titin
    Soemartojo, Saskya Mary
    Sarwinda, Devvi
    2019 3RD INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS 2019), 2019,
  • [36] Should multiple imputation be the method of choice for handling missing data in randomized trials?
    Sullivan, Thomas R.
    White, Ian R.
    Salter, Amy B.
    Ryan, Philip
    Lee, Katherine J.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2018, 27 (09) : 2610 - 2626
  • [37] Multiple imputation for handling missing outcome data when estimating the relative risk
    Sullivan, Thomas R.
    Lee, Katherine J.
    Ryan, Philip
    Salter, Amy B.
    BMC MEDICAL RESEARCH METHODOLOGY, 2017, 17
  • [38] TRANSPOSABLE REGULARIZED COVARIANCE MODELS WITH AN APPLICATION TO MISSING DATA IMPUTATION
    Allen, Genevera I.
    Tibshirani, Robert
    ANNALS OF APPLIED STATISTICS, 2010, 4 (02): : 764 - 790
  • [39] Parametric fractional imputation for mixed models with nonignorable missing data
    Yang, Shu
    Kim, Jae-Kwang
    Zhu, Zhengyuan
    STATISTICS AND ITS INTERFACE, 2013, 6 (03) : 339 - 347
  • [40] Multiple Imputation of Missing Data for Multilevel Models: Simulations and Recommendations
    Grund, Simon
    Luedtke, Oliver
    Robitzsch, Alexander
    ORGANIZATIONAL RESEARCH METHODS, 2018, 21 (01) : 111 - 149
12345