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
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Study Design and Data Analysis, Third Edition
Produktdetaljer
ISBN
9781040079539
Publisert
2024
Utgave
3. utgave
Utgiver
Vendor
Chapman & Hall
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter