Epidemiology by design : a causal approach to the health sciences / Daniel Westreich.

Format:

Book

Author/Creator:

Westreich, Daniel, author.

Language:

English

Subjects (All):

Epidemiology.

Epidemiologic Methods.

Medical Subjects:

Epidemiology.

Epidemiologic Methods.

Physical Description:

1 online resource (viii, 230 pages) : illustrations (some color)

Place of Publication:

New York, NY : Oxford University Press, [2020]

Summary:

A (LONG OVERDUE) CAUSAL APPROACH TO INTRODUCTORY EPIDEMIOLOGY Epidemiology is recognized as the science of public health, evidence-based medicine, and comparative effectiveness research. Causal inference is the theoretical foundation underlying all of the above. No introduction to epidemiology is complete without extensive discussion of causal inference; what's missing is a textbook that takes such an approach. Epidemiology by Design takes a causal approach to the foundations of traditional introductory epidemiology. Through an organizing principle of study designs, it teaches epidemiology through modern causal inference approaches, including potential outcomes, counterfactuals, and causal identification conditions. Coverage in this textbook includes: � Introduction to measures of prevalence and incidence (survival curves, risks, rates, odds) and measures of contrast (differences, ratios); the fundamentals of causal inference; and principles of diagnostic testing, screening, and surveillance � Description of three key study designs through the lens of causal inference: randomized trials, prospective observational cohort studies, and case-control studies � Discussion of internal validity (within a sample), external validity, and population impact: the foundations of an epidemiologic approach to implementation science For first-year graduate students and advanced undergraduates in epidemiology and public health fields more broadly, Epidemiology by Design offers a rigorous foundation in epidemiologic methods and an introduction to methods and thinking in causal inference. This new textbook will serve as a foundation not just for further study of the field, but as a head start on where the field is going.

Contents:

Overview

SECTION I Introduction and background

Measuring disease

Measures of association

Causal inference, causal effect estimation, and systematic error

Diagnostic testing, screening, and surveillance

SECTION II Epidemiology by design

Randomized trials

Observational cohort studies

Case-control studies

Other study designs

SECTION III From patients to policy

Causal impact: from exposures to interventions

Index.

Notes:

Includes bibliographical references and index.

Description based on online resource; title from digital title page (viewed on December 31, 2019).

ISBN:

0-19-066579-3

0-19-066577-7

OCLC:

1129443289