Applied Linear Models With Sas

Informationen zum Autor Dr Daniel Zelterman is Professor of Epidemiology and Public Health in the Division of Biostatistics at Yale University. His application areas include work in genetics, HIV, and cancer. Before moving to Yale in 1995, he was on the faculty of the University of Minnesota and at the State University of New York at Albany. He is an elected Fellow of the American Statistical Association. He serves as associate editor of Biometrics and other statistical journals. He is the author of Models for Discrete Data (1999), Advanced Log-Linear Models Using SAS (2002), Discrete Distributions: Application in the Health Sciences (2004), and Models for Discrete Data, 2nd edition (2006). Klappentext This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models using SAS. Zusammenfassung This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models using SAS. Inhaltsverzeichnis 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 tables.

Product details

• Authors: Daniel Zelterman, Daniel (Yale University Zelterman, Zelterman Daniel
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 10.05.2010
• EAN: 9780521761598
• ISBN: 978-0-521-76159-8
• No. of pages: 288
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MEDICAL / Biostatistics, Probability & statistics, Mathematical & statistical software, Probability and statistics, Mathematical and statistical software