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An annotated bibliography of methods for analysing correlated categorical data
M Ashby1, J M Neuhaus, W W Hauck
1Program in Biostatistics, School of Public Health, University of California, Berkeley 94720.
Statistics in Medicine
|January 15, 1992
Summary
This annotated bibliography offers over 100 resources on analyzing correlated categorical data, focusing on regression models and estimation for binary responses. It serves as a key reference for researchers and analysts in statistical research.
Area of Science:
- Statistics
- Biostatistics
- Econometrics
Context:
- Analyzing correlated categorical response data presents significant methodological challenges.
- Existing literature on these methods is vast and requires systematic organization.
- Categorical regression models are central to understanding complex response patterns.
Purpose:
- To compile and annotate over 100 key articles on methods for analyzing correlated categorical data.
- To classify relevant literature based on common themes and methodological approaches.
- To provide a comprehensive reference for researchers and practitioners in statistical analysis.
Summary:
- This work presents an annotated bibliography of over 100 articles focused on the analysis of correlated categorical response data.
- The bibliography emphasizes categorical regression models and estimation techniques, particularly for binary outcomes.
- Articles are systematically classified by shared characteristics to highlight common themes in the field.
Impact:
- Facilitates access to critical methodologies for analysts working with correlated categorical data.
- Supports researchers engaged in developing new methods for statistical analysis.
- Aids individuals interested in the ongoing methodological advancements in statistical research.