Title: Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes
Authors: Lingsma, Hester F ×
Steyerberg, Ewout W
Lesaffre, Emmanuel #
Issue Date: May-2011
Publisher: BioMed Central
Series Title: BMC Medical Research Methodology vol:11 pages:1-11
Article number: 77
Abstract: Background: Logistic random effects models are a popular tool to analyze multilevel also called hierarchical data with a binary or ordinal outcome. Here, we aim to compare different statistical software implementations of these models.
ISSN: 1471-2288
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat)
× corresponding author
# (joint) last author

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