Mixed-Effects Logistic Regression Models for Indirectly Observed Discrete Outcome Variables.
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Inequities in access to healthcare: analysis of national survey data across six Asia-Pacific countries.Multimethod latent class analysisIdentifying vulnerable populations using a social determinants of health framework: analysis of national survey data across six Asia-Pacific countries.Latent class and finite mixture models for multilevel data sets.Multilevel latent class models with dirichlet mixing distribution.Multilevel Mixture Factor Models.Role of house flies in the ecology of Enterococcus faecalis from wastewater treatment facilities.Effect of antitumor treatments on triple-negative breast cancer patients: A PRISMA-compliant network meta-analysis of randomized controlled trials.Effectiveness of multiple therapeutic strategies in neovascular glaucoma patients: A PRISMA-compliant network meta-analysis.Goodness-of-fit of Multilevel Latent Class Models for Categorical Data
P2860
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P2860
Mixed-Effects Logistic Regression Models for Indirectly Observed Discrete Outcome Variables.
description
2005 nî lūn-bûn
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2005年の論文
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2005年学术文章
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2005年学术文章
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2005年学术文章
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name
Mixed-Effects Logistic Regress ...... ed Discrete Outcome Variables.
@en
Mixed-Effects Logistic Regress ...... ed Discrete Outcome Variables.
@nl
type
label
Mixed-Effects Logistic Regress ...... ed Discrete Outcome Variables.
@en
Mixed-Effects Logistic Regress ...... ed Discrete Outcome Variables.
@nl
prefLabel
Mixed-Effects Logistic Regress ...... ed Discrete Outcome Variables.
@en
Mixed-Effects Logistic Regress ...... ed Discrete Outcome Variables.
@nl
P1476
Mixed-Effects Logistic Regress ...... ved Discrete Outcome Variables
@en
P2093
Jeroen K Vermunt
P304
P356
10.1207/S15327906MBR4003_1
P577
2005-01-01T00:00:00Z