Logistic random effects regression models: a comparison of statistical packages for binary and ordinal outcomes

被引：0

作者：

Baoyue Li

Hester F Lingsma

Ewout W Steyerberg

Emmanuel Lesaffre

机构：

[1] Erasmus MC,Department of Biostatistics

[2] Dr. Molewaterplein 50,undefined

[3] Department of Public Health,undefined

[4] Erasmus MC,undefined

[5] L-Biostat,undefined

[6] K.U.Leuven,undefined

来源：

BMC Medical Research Methodology | / 11卷

关键词：

Random Effect Model; Glasgow Outcome Scale; Quadrature Point; Frequentist Approach; Pupil Reactivity;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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Li, Baoyue
Lingsma, Hester F.
Steyerberg, Ewout W.
Lesaffre, Emmanuel
[J]. BMC MEDICAL RESEARCH METHODOLOGY, 2011, 11
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Emery, Sherry
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[J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2022, 328 (08): : 772 - 773
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[8] Analysis of longitudinal substance use outcomes using ordinal random-effects regression models
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[J]. ADDICTION, 2000, 95 : S381 - S394
[9] Modeling missing binary outcomes in longitudinal studies: Incorporating pattern-mixture models into random effects logistic regression.
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[J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 1996, 143 (11) : 91 - 91
[10] Tests for goodness of fit in ordinal logistic regression models
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[J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2016, 86 (17) : 3398 - 3418

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