Tây y Dịch tễ học: Thiết kế nghiên cứu và phân tích dữ liệu

nguyenminh2301 · 18/8/15

Dịch tễ học: Thiết kế nghiên cứu và phân tích dữ liệu
Mark Woodward_Epidemiology Study Design and Data Analysis (Third Edition) _2014

Publisher: Chapman and Hall/CRC (January 3, 2014)

ASIN: B00N4FSU7I

Features

Covers the spectrum of statistical principles and analytical tools used in epidemiological research

Explains how to design epidemiological studies and how to analyze the data from these studies

Uses data sets taken from real epidemiological investigations and publications to illustrate the concepts and methods

Assumes only a basic statistical background, emphasizing practical methods over complicated proofs

Includes extensive references for further reading as well as end-of-chapter exercises to reinforce understanding

Provides data sets, SAS and Stata programs, and more on the book’s CRC Press web page

Solutions manual available upon qualifying course adoption

Summary
Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems.

New to the Third Edition

New chapter on risk scores and clinical decision rules

New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation

New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines

Many more exercises and examples using both Stata and SAS

More than 60 new figures

After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding.

Web Resource

A wealth of supporting material can be downloaded from the book’s CRC Press web page, including:

Real-life data sets used in the text

SAS and Stata programs used for examples in the text

SAS and Stata programs for special techniques covered

Sample size spreadsheet

Click to expand...

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Tây y Dịch tễ học: Thiết kế nghiên cứu và phân tích dữ liệu

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