Regression for Health and Social Science: Applied Linear Models with R

ISBN-13: 9781108478182 / Angielski / Twarda / 2022

Connecticut) Zelterman Daniel (Yale University

Opis

Real-life examples and exercises emphasize interpretation of statistical linear models and computer output using a minimum of mathematics.

Spis treści

Preface; Preface to revised edition; Acknowledgments; 1. Introduction; 2. Principles of statistics; 3. Introduction to linear regression; 4. Assessing the regression; 5. Multiple linear regression; 6. Indicators, interactions, and transformations; 7. Nonparametric statistics; 8. Logistic regression; 9. Diagnostics for logistic regression; 10. Poisson regression; 11. Survival analysis; 12. Proportional hazards regression; 13. Review of methods; Appendix: statistical distributions; Selected solutions and hints; References; Index.