The number of response categories in ordered response models
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Publication:6637120
DOI10.1515/IJB-2021-0013MaRDI QIDQ6637120
A. Monti, M. Iannario, Pietro Scalera
Publication date: 13 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
sample sizehypothesis testingefficiencymerging categoriesproportional odds modelscollapsibility property
Cites Work
- Title not available (Why is that?)
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- A simulation study to assess the effect of the number of response categories on the power of ordinal logistic regression for differential item functioning analysis in rating scales
- The effect of number of categories in rating scales on precision of estimation of scale values
- Robustness issues for \textsc{cub} models
- Robust inference for ordinal response models
- Statistical Analysis of Financial Data in S-Plus
- Cutpoint Selection for Categorizing a Continuous Predictor
- Grouping and Association in Contingency Tables: An Exploratory Canonical Correlation Approach
- Ordinal Data Modeling
- On collapsing categories in two-way contingency tables
- Contingency Table Analysis
- Quantum Computing Explained
- Polychotomous Quantal Response in Biological Assay
- Bias correction for the proportional odds logistic regression model with application to a study of surgical complications
- Ordinal regression models for continuous scales
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