تحلیل داده های مختلط: روش ها و کاربردها ۲۰۱۳
Analysis of Mixed Data: Methods & Applications 2013

1. Front Cover

2. Dedication

3. Contents

4. Preface

5. Editors

6. Contributors

7. List of Figures

8. List of Tables

1. Analysis of mixed data: An overview

2. Combining univariate and multivariate random forests for enhancing predictions of mixed outcomes

3. Joint tests for mixed traits in genetic association studies

4. Bias in factor score regression and a simple solution

5. Joint modeling of mixed count and continuous longitudinal data

6. Factorization and latent variable models for joint analysis of binary and continuous outcomes

7. Regression models for analyzing clustered binary and continuous outcomes under the assumption of exchangeability

8. Random effects models for joint analysis of repeatedly measured discrete and continuous outcomes

9. Hierarchical modeling of endpoints of different types with generalized linear mixed models

10. Joint analysis of mixed discrete and continuous outcomes via copula models

11. Analysis of mixed outcomes in econometrics: Applications in health economics

12. Sparse Bayesian modeling of mixed econometric data using data augmentation

13. Bayesian methods for the analysis of mixed categorical and continuous (incomplete) data

22. Bibliography