Epidemiology

Author: Mark Woodward
Edition: 2
Binding: Hardcover
ISBN: 1584884150
Category: Medical

Epidemiology: Study Design and Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Building an up-to-date understanding of the methodologies that can be used to shape public health policies, Epidemiology: Study Design and Data Analysis, Second Edition encompasses the study of epidemiology from the observation of associations between risk factors and disease to the use of practical, data-supported analyses. Download Epidemiology medical books for free.
It presents study designs commonly used for a wide range of purposes, and covers the spectrum of statistical principles and analytical tools used in epidemiological research, such as techniques used in report writing, descriptive analyses, statistical models and synthesis of evidence.

New Material in This Edition Includes:
Systematic evaluation
Meta-analysis
Regression dilution
Case-cohort studies
Case-crossover stud Get Epidemiology our bestseller medical books.

Epidemiology Free

New Material in This Edition Includes:
Systematic evaluation
Meta-analysis
Regression dilution
Case-cohort studies
Case-crossover stud

Related Books: "Epidemiology"

Modern Epidemiology

The thoroughly revised and updated Third Edition of the acclaimed Modern Epidemiology reflects both the conceptual development of this evolving science and the increasingly focal role that epidemiology plays in dealing with public health and medical

Statistics for Epidemiology

Statistical ideas have been integral to the development of epidemiology and continue to provide the tools needed to interpret epidemiological studies. Although epidemiologists do not need a highly mathematical background in statistical theory to cond

Applied Logistic Regression (Wiley Series in Probability and Statistics)

AA new edition of the definitive guide to logistic regression modeling for health science and other applicationsThis thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) mo