Description
Book SynopsisAn essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacology, and public health.
Trade Review"…simply enjoyable…ideal as a reference." (
Journal of the American Statistical Association, June 2007)
"This book should be very useful in the classroom and for interpretation of the literature, and it is thus highly recommended for students, instructors, and investigators." (The Annals of Pharmcotherapy, July/August 2005)
“…a very interesting, well written and…very enjoyable and easy to read book…I highly recommend Biostatistics: A Bayesian Introduction…” (Statistical Methods in Medical Research, Vol. 14, 2005)
"…suitable for serious students, faculty and researchers, and college libraries supporting biology and biostatistics graduate programs." (CHOICE, March 2005)
Table of ContentsPreface.
1. Introduction to Statistical Science.
2. Probability.
3. Subjective Probability.
4. Distributions and Descriptive Statistics.
5. Statistical Inference.
6. Continuous Probability Distributions.
7. Comparing Two Rates.
8. Inference on Means.
9. Linear Models and Statistical Adjustment.
10. Logistic Regression.
11. Hierarchical Models.
12. Time to Event Analysis.
13. Decision Analysis.
A. Tables.
B. Introduction to WinBUGS.
C. Introduction to SAS System Software
Index.
