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Applied Categorical and Count Data Analysis
ISBN-13:
9781000864021
Veröffentl:
2023
Seiten:
400
Autor:
Wan Tang
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:
This second edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. It covers classic concepts and popular topics, such as logistic regression models, along with modern areas including models for zero-modified count outcomes.
1. Introduction 2. Contingency Tables 3. Sets of Contingency Tables 4. Regression Models for Binary Response 5. Regression Models for Polytomous Responses 6. Regression Models for Count Response 7. Log-Linear Models for Contingency Tables 8. Analyses of Discrete Survival Time 9. Longitudinal and Clustered Data Analysis 10. Evaluation of Instruments 11. Analysis of Incomplete Data
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