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.
510 p.

• Steve Selvin. PhD, Professor and Head of Biostatistics. School of Public Health, University of California-Berkeley, Berkeley, CA (USA).
  
   
• Publisher: Oxford university Press
• Publication date (print & electronic format)): 2011-02.