Sufficient sample size and power in multilevel ordinal logistic regression models

DOI10.1155/2016/7329158zbMath1367.92007DBLPjournals/cmmm/AliAKH16OpenAlexW2521871405WikidataQ37322836 ScholiaQ37322836MaRDI QIDQ2012999

Sabz Ali, Sundas Hussain, Amjad Ali, Sajjad Ahmad Khan

Publication date: 3 August 2017

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/7329158

zbMATH Keywords

maximum likelihood methodpenalized quasilikelihoodmultilevel ordinal logistic regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

Related Items (1)

Empirical performance of estimation methods in beta mixed models with application to ecological data

Cites Work

• A proportional odds model with subject-specific effects for repeated ordered categorical responses
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
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