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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!