Multiple imputation for gamma outcome variable using generalized linear model

DOI10.1080/00949655.2017.1300904OpenAlexW2595776907MaRDI QIDQ5106904

Gurprit Grover, Vinay Kumar Gupta

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2017.1300904

zbMATH Keywords

gamma distributionmissing datamultiple imputationgeneralized linear modelidentity link function

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• mi
• glm

Cites Work

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• The Multiple Adaptations of Multiple Imputation
• The distribution of Pearson residuals in generalized linear models
• Incomplete covariates data in generalized linear models
• Local linear regression for generalized linear models with missing data.
• Multiple Imputation After 18+ Years
• A conditional model for incomplete covariates in parametric regression models
• Multiple Imputation and its Application
• Proper and Improper Multiple Imputation
• Plausibility of multivariate normality assumption when multiply imputing non-Gaussian continuous outcomes: a simulation assessment
• Missing-Data Methods for Generalized Linear Models
• A Test of Goodness of Fit

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