jomo: A Flexible Package for Two-level Joint Modelling Multiple Imputation
Abstract
Multiple imputation is a tool for parameter estimation and inference with partially observed
data, which is used increasingly widely in medical and social research. When the data to be imputed
are correlated or have a multilevel structure — repeated observations on patients, school children
nested in classes within schools within educational districts — the imputation model needs to include
this structure. Here we introduce our joint...
Paper Details
Title
jomo: A Flexible Package for Two-level Joint Modelling Multiple Imputation
Published Date
Jan 1, 2019
Journal
Volume
11
Issue
2
Pages
205 - 205
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