Statistical Methods in Epidemiologic Research

Statistical Methods in Epidemiologic Research
Author: Ray M. Merrill
Publisher: Jones & Bartlett Learning
Total Pages: 944
Release: 2015-08-03
Genre: Medical
ISBN: 1284106373

With the many advances in the control of infectious disease over the last 100 years, the role of epidemiology in public health has transformed significantly. Epidemiologic research now includes the study of acute and chronic diseases, as well as the events, behaviors, and conditions associated with health. From seasoned author Ray Merrill, this text explores how epidemiologic methods are conducted and interpreted. In four sections, Statistical Methods in Epidemiologic Research covers basic concepts in epidemiology and statistics, study designs, statistical techniques and applications, as well as special topics. Key Features: • Includes sections on how specific epidemiologic methods have resulted in findings that have influenced health policy and public health • Offers optional sections involving more advanced methods • At the end of each chapter, an applications section gives the student a clear picture of how epidemiologic methods are applied in real-world situations • Special emphasis is given to interpreting results • SAS code is presented in an appendix that corresponds to assessing selected methods.

Epidemiologic Analysis

Epidemiologic Analysis
Author: Steve Selvin
Publisher: Oxford University Press
Total Pages: 340
Release: 2001-06-21
Genre: Medical
ISBN: 0199759758

Using real data from published sources, this engaging and lucid casebook shows how statistical tools can be used to analyze important epidemiologic issues. Its 18 cases address a variety of interesting research problems from Mendel's classic sweet pea experiments to recent studies of AIDS and exposure to electro-magnetic field radiation. Each includes a data set. The cases are described succinctly and the methods used to analyze them are then discussed in detail. A wide range of statistical and graphical tools are included, from simple mean values to nonparametric bivariate regression smoothing techniques. The level of discussion is sophisticated but mathematically simple, affording access to a broad audience interested in using collected data to study human health and disease. The author's focus on describing, interpreting and presenting results will set this book apart from other texts.