Estimates for cell counts and common odds ratio in three-way contingency tables by homogeneous log-linear models with missing data
DOI10.1007/s10182-016-0275-yzbMath1443.62168OpenAlexW2476528423MaRDI QIDQ1622095
Hani M. Samawi, Daniel F. Linder, Robert L. Vogel, Haresh D. Rochani
Publication date: 12 November 2018
Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10182-016-0275-y
maximum likelihood methodmissing datacontingency tablelog-linear modelcommon odds ratiocross-classified datathree-way table
Applications of statistics to biology and medical sciences; meta analysis (62P10) Contingency tables (62H17) Missing data (62D10)
Related Items (2)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Models for Nonresponse in Sample Surveys
- Two-Dimensional Contingency Tables with Both Completely and Partially Cross-Classified Data
- Inference and missing data
- The Analysis of Partially Categorized Contingency Data
- A Limited Memory Algorithm for Bound Constrained Optimization
This page was built for publication: Estimates for cell counts and common odds ratio in three-way contingency tables by homogeneous log-linear models with missing data