Non-response models for the analysis of non-monotone non-ignorable missing data

被引：0

作者：

Robins, JM ^{[1
]}

机构：

[1] HARVARD UNIV,SCH PUBL HLTH,DEPT BIOSTAT,BOSTON,MA 02115

来源：

STATISTICS IN MEDICINE | 1997年 / 16卷 / 1-3期

关键词：

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

I introduce a new class of non-ignorable non-monotone missing data models. These models are useful for investigating the sensitivity of one's estimates to untestable assumptions about the missing data process. I use the new models to analyse data from a case-control study of the effect of radiation on breast cancer.

引用

下载

页码：21 / 37

页数：17

共 50 条

[21] Bayesian analysis of mixtures in structural equation models with non-ignorable missing data
Cai, Jing-Heng
Song, Xin-Yuan
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 2010, 63 (03): : 491 - 508
[22] Statistical Modeling of Longitudinal Data with Non-Ignorable Non-Monotone Missingness with Semiparametric Bayesian and Machine Learning Components
Cao, Yu
Mukhopadhyay, Nitai D.
SANKHYA-SERIES B-APPLIED AND INTERDISCIPLINARY STATISTICS, 2021, 83 (01): : 152 - 169
[23] On boundary solutions and identifiability in categorical regression with non-ignorable non-response
Clarke, PS
BIOMETRICAL JOURNAL, 2002, 44 (06) : 701 - 717
[24] Statistical Modeling of Longitudinal Data with Non-Ignorable Non-Monotone Missingness with Semiparametric Bayesian and Machine Learning Components
Yu Cao
Nitai D. Mukhopadhyay
Sankhya B, 2021, 83 : 152 - 169
[25] A SIMPLE AND EFFICIENT ESTIMATION METHOD FOR MODELS WITH NON-IGNORABLE MISSING DATA
Ai, Chunrong
Linton, Oliver
Zhang, Zheng
STATISTICA SINICA, 2020, 30 (04) : 1949 - 1970
[26] Modelling non-ignorable missing-data mechanisms with item response theory models
Holman, R
Glas, CAW
BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 2005, 58 : 1 - 17
[27] Non-ignorable missing covariates in generalized linear models
Lipsitz, SR
Ibrahim, JG
Chen, MH
Peterson, H
STATISTICS IN MEDICINE, 1999, 18 (17-18) : 2435 - 2448
[28] Model-based inference for categorical survey data subject to non-ignorable non-response
Forster, JJ
Smith, PWF
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1998, 60 : 57 - 70
[29] A Latent Variable Model with Non-Ignorable Missing Data
Takahiro Hoshino
Behaviormetrika, 2005, 32 (1) : 71 - 93
[30] A Markov chain model for longitudinal categorical data when there may be non-ignorable non-response
Huang, SL
Brown, MB
JOURNAL OF APPLIED STATISTICS, 1999, 26 (01) : 5 - 18

← 1 2 3 4 5 →