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
  • [21] Amelia II: A Program for Missing Data
    Honaker, James
    King, Gary
    Blackwell, Matthew
    JOURNAL OF STATISTICAL SOFTWARE, 2011, 45 (07): : 1 - 47
  • [22] Review of inverse probability weighting for dealing with missing data
    Seaman, Shaun R.
    White, Ian R.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2013, 22 (03) : 278 - 295
  • [23] Dealing with missing outcome data in meta-analysis
    Mavridis, Dimitris
    White, Ian R.
    RESEARCH SYNTHESIS METHODS, 2020, 11 (01) : 2 - 13
  • [24] A New Diffusion Kalman Algorithm Dealing with Missing Data
    Xiao, Shuangyi
    Mu, Nankun
    Chen, Feng
    ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT II, 2019, 11555 : 273 - 281
  • [25] Methods for Dealing With Missing Covariate Data in Epigenome-Wide Association Studies
    Mills, Harriet L.
    Heron, Jon
    Relton, Caroline
    Suderman, Matt
    Tilling, Kate
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2019, 188 (11) : 2021 - 2030
  • [26] Bias and Precision of the "Multiple Imputation, Then Deletion" Method for Dealing With Missing Outcome Data
    Sullivan, Thomas R.
    Salter, Amy B.
    Ryan, Philip
    Lee, Katherine J.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2015, 182 (06) : 528 - 534
  • [27] Dealing with missing data based on data envelopment analysis and halo effect
    Zha, Yong
    Song, Ali
    Xu, Chuanyong
    Yang, Honglin
    APPLIED MATHEMATICAL MODELLING, 2013, 37 (09) : 6135 - 6145
  • [28] Dealing with missing, abnormal and incoherent data in E3N cohort study
    Garcia-Acosta, S
    Clavel-Chapelon, F
    REVUE D EPIDEMIOLOGIE ET DE SANTE PUBLIQUE, 1999, 47 (06): : 515 - 523
  • [29] Dealing with Missing Data: A Comparative Exploration of Approaches Using the Integrated City Sustainability Database
    Curley, Cali
    Krause, Rachel M.
    Feiock, Richard
    Hawkins, Christopher V.
    URBAN AFFAIRS REVIEW, 2019, 55 (02) : 591 - 615
  • [30] Dealing with missing data under stratified sampling designs where strata are study domains
    Rodriguez, Carlos E.
    Nieto-Barajas, Luis E.
    Perez-Perez, Carlos S.
    JOURNAL OF APPLIED STATISTICS, 2024, 51 (01) : 153 - 167
12345