Robust methods for generalized linear models with nonignorable missing covariates

DOI10.1002/cjs.5550360207zbMath1144.62050OpenAlexW2080645484MaRDI QIDQ3526431

Sanjoy Kumar Sinha

Publication date: 25 September 2008

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550360207

zbMATH Keywords

incomplete datamaximum likelihoodMetropolis-Hastings algorithmbinary logistic modeldelirium

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10) Generalized linear models (logistic models) (62J12) Robustness and adaptive procedures (parametric inference) (62F35) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (6)

Bayesian semiparametric models for nonignorable missing mechanisms in generalized linear models ⋮ Robust inference for generalized partially linear mixed models that account for censored responses and missing covariates – an application to Arctic data analysis ⋮ Robust analysis of longitudinal data with nonignorable missing responses ⋮ Performances of Bayesian model selection criteria for generalized linear models with non-ignorably missing covariates ⋮ Parametric simultaneous robust inferences for regression coefficient under generalized linear models ⋮ Constrained inference for generalized linear models with incomplete covariate data

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