Statistical Tools for Epidemiologic Research available in Hardcover
In this innovative new book, Steve Selvin provides readers with a clear understanding of intermediate biostatistical methods without advanced mathematics or statistical theory (for example, no Bayesian statistics, no causal inference, no linear algebra and only a slight hint of calculus). This text answers the important question: After a typical first-year course in statistical methods, what next?
Statistical Tools for Epidemiologic Research thoroughly explains not just how statistical data analysis works, but how the analysis is accomplished. From the basic foundation laid in the introduction, chapters gradually increase in sophistication with particular emphasis on regression techniques (logistic, Poisson, conditional logistic and log-linear) and then beyond to useful techniques that are not typically discussed in an applied context. Intuitive explanations richly supported with numerous examples produce an accessible presentation for readers interested in the analysis of data relevant to epidemiologic or medical research.
|Publisher:||Oxford University Press, USA|
|Edition description:||New Edition|
|Product dimensions:||6.40(w) x 9.20(h) x 1.70(d)|
About the Author
Steve Selvin, PhD, is Professor and Head of Biostatistics at the School of Public Health, University of California, Berkeley.
Table of Contents
CHAPTER 1: Two measures of risk: odds ratios and average rates
CHAPTER 2: Tabular data: the 2× k table and summarizing 2 × 2 tables
CHAPTER 3: Two especially useful estimation tools
CHAPTER 4: Linear logistic regression: discrete data
CHAPTER 5: Logistic regression: continuous data
CHAPTER 6: Analysis of count data: Poisson regression model
CHAPTER 7: Analysis of matched case/control data
CHAPTER 8: Spatial data: estimation and analysis
CHAPTER 9: Classification: three examples
CHAPTER 10: Three smoothing techniques
CHAPTER 11: Case study: description and analysis
CHAPTER 12: Longitudinal data analysis
CHAPTER 13: Analysis of multivariate tables
CHAPTER 14: Misclassification: a detailed description of a simple case
CHAPTER 15: Advanced topics