An appropriate generalized linear model with random effects for informative missing data

被引：0
|
作者：
Follmann, DA
机构：
来源：
BIOMETRICS | 1997年 / 53卷 / 01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：
引用
收藏
页码：384 / 384
页数：1
相关论文
共 50 条
  • [1] AN APPROXIMATE GENERALIZED LINEAR-MODEL WITH RANDOM EFFECTS FOR INFORMATIVE MISSING DATA
    FOLLMANN, D
    WU, M
    [J]. BIOMETRICS, 1995, 51 (01) : 151 - 168
  • [2] Model averaging for generalized linear models with missing at random covariates
    Cheng, Weili
    Li, Xiaorui
    Li, Xiaoxia
    Yan, Xiaodong
    [J]. STATISTICS, 2023, 57 (01) : 26 - 52
  • [3] Non-linear random effects model for multivariate responses with missing data
    Marshall, Guillermo
    De la Cruz-Mesia, Rolando
    Baron, Anna E.
    Rutledge, James H.
    Zerbe, Gary O.
    [J]. STATISTICS IN MEDICINE, 2006, 25 (16) : 2817 - 2830
  • [4] Robust analysis of salamander data, generalized linear model with random effects
    Choy, STB
    Chan, JSK
    Yam, CHK
    [J]. BAYESIAN STATISTICS 7, 2003, : 477 - 484
  • [5] Missing covariate data in generalized linear mixed models with distribution-free random effects
    Liu, Li
    Xiang, Liming
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2019, 134 : 1 - 16
  • [6] Generalized linear mixed models with informative dropouts and missing covariates
    Kunling Wu
    Lang Wu
    [J]. Metrika, 2007, 66 : 1 - 18
  • [7] Generalized linear mixed models with informative dropouts and missing covariates
    Wu, Kunling
    Wu, Lang
    [J]. METRIKA, 2007, 66 (01) : 1 - 18
  • [8] Generalized Linear Model for Estimation of Missing Daily Rainfall Data
    Rahman, Nurul Aishah
    Deni, Sayang Mohd
    Ramli, Norazan Mohamed
    [J]. 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES (ICMS4): MATHEMATICAL SCIENCES: CHAMPIONING THE WAY IN A PROBLEM BASED AND DATA DRIVEN SOCIETY, 2017, 1830
  • [9] Small-area estimation with missing data using a multivariate linear random effects model
    Ngaruye, Innocent
    von Rosen, Dietrich
    Singull, Martin
    [J]. JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCE, 2018, 1 (01) : 23 - 37
  • [10] Small-area estimation with missing data using a multivariate linear random effects model
    Innocent Ngaruye
    Dietrich von Rosen
    Martin Singull
    [J]. Japanese Journal of Statistics and Data Science, 2018, 1 (1) : 23 - 37
12345