On modeling repeated binary responses and time-dependent missing covariates

DOI10.1198/108571108X338023zbMath1306.62292OpenAlexW1989648481MaRDI QIDQ2259926

Gregory J. Anderson, Paul R. Neal, Lan Huang, Ming-Hui Chen, Fang Yu

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/108571108x338023

zbMATH Keywords

missing at randomgeneralized linear mixed model (GLMM)model assessmentMonte Carlo EM algorithmweather conditionsflower intensitytilia

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• AS 47

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Models for discrete longitudinal data.
• Bayesian methods for generalized linear models with covariates missing at random
• Inference and missing data
• Primitive irreducible representations of nilpotent groups
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• A conditional model for incomplete covariates in parametric regression models
• Propriety of posterior distribution for dichotomous quantal response models
• Approximate Inference in Generalized Linear Mixed Models
• Adaptive Rejection Sampling for Gibbs Sampling
• Generalized linear mixed models a pseudo-likelihood approach
• Missing-Data Methods for Generalized Linear Models
• Linear mixed models for longitudinal data