Dealing with missing data: Part II

被引：68
|
作者：
Walczak, B [1 ]
Massart, DL [1 ]
机构：
[1] Fabi VUB, ChemoAC, B-1090 Brussels, Belgium
来源：
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2001年 / 58卷 / 01期
关键词：
maximum likelihood; multiple imputation; missing data;
D O I：
10.1016/S0169-7439(01)00132-0
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main concepts of the maximum likelihood (ML) approach in dealing with missing data are introduced and simple numerical examples of the application of ML are presented. Differences between ML and other techniques of treating missing data are illustrated. The idea of multiple imputation (MI) approach is presented and illustrated as well. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：29 / 42
页数：14
相关论文
共 50 条
  • [31] Dealing with missing data by EM in single-case studies
    Li-Ting Chen
    Yanan Feng
    Po-Ju Wu
    Chao-Ying Joanne Peng
    Behavior Research Methods, 2020, 52 : 131 - 150
  • [32] Dealing with missing data in observational health care outcome analyses
    Norris, CM
    Ghali, WA
    Knudtson, ML
    Naylor, CD
    Saunders, LD
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2000, 53 (04) : 377 - 383
  • [33] Dealing with missing covariate data in fishery stock assessment models
    Maunder, Mark N.
    Deriso, Richard B.
    FISHERIES RESEARCH, 2010, 101 (1-2) : 80 - 86
  • [34] Dealing with missing data by EM in single-case studies
    Chen, Li-Ting
    Feng, Yanan
    Wu, Po-Ju
    Peng, Chao-Ying Joanne
    BEHAVIOR RESEARCH METHODS, 2020, 52 (01) : 131 - 150
  • [35] MMRM versus MI in Dealing with Missing DataA Comparison Based on 25 NDA Data Sets
    Siddiqui, Ohidul
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2011, 21 (03) : 423 - 436
  • [36] The case of the missing data: Methods of dealing with dropouts and other research vagaries
    Streiner, DL
    CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE, 2002, 47 (01): : 68 - 75
  • [37] A cautionary tale: dealing with missing data in clinical trials for rheumatic diseases
    Song, J.
    Boscardin, W. J.
    Furst, D. E.
    Khanna, D.
    Wong, W. K.
    CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, 2014, 32 (06) : S122 - S126
  • [38] Impact of missing data strategies in studies of parental employment and health: Missing items, missing waves, and missing mothers
    Nguyen, Cattram D.
    Strazdins, Lyndall
    Nicholson, Jan M.
    Cooklin, Amanda R.
    SOCIAL SCIENCE & MEDICINE, 2018, 209 : 160 - 168
  • [39] Causal Discovery from Medical Data: Dealing with Missing Values and a Mixture of Discrete and Continuous Data
    Sokolova, Elena
    Groot, Perry
    Claassen, Tom
    von Rhein, Daniel
    Buitelaar, Jan
    Heskes, Tom
    ARTIFICIAL INTELLIGENCE IN MEDICINE (AIME 2015), 2015, 9105 : 177 - 181
  • [40] Dealing with missing data using the Heckman selection model: methods primer for epidemiologists
    Munoz, Johanna
    Hufstedler, Heather
    Gustafson, Paul
    Baernighausen, Till
    De Jong, Valentijn M. T.
    Debray, Thomas P. A.
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2023, 52 (01) : 5 - 13
12345