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Aschengrau & Seage's essentials of epidemiology in public health

By: Material type: TextTextPublication details: Burlington Jones & Bartlett Learning 2026Edition: 5th editionDescription: xxiv,423p. ill.color 25cmISBN:
  • 9781284286663
Subject(s): LOC classification:
  • RA651 .A83 2026
Contents:
The Approach and Evolution of Epidemiology Measures of Disease Frequency Comparing Disease Frequencies Sources of Public Health Data Descriptive Epidemiology Overview of Epidemiological Study Designs Experimental Studies Cohort Studies Case-Control Studies Bias Confounding Random Error Effect Measure Modification Critical Review of Epidemiological Studies The Epidemiological Approach to Causation Screening in Public Health Practice Ethics in Research Involving Human Participants
Summary: "Essentials of Epidemiology in Public Health provides students with a basic understanding of the principles and applications of epidemiology, explaining difficult topics such as bias, confounding, random error, and the role of statistics in epidemiology, and placing a major emphasis on study design"-- Provided by publisher
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Books Books KMTC:MOLO CAMPUS Reference RA651 .A83 2026 (Browse shelf(Opens below)) 1 Available MLO/794

Preceded by Essentials of epidemiology in public health / Ann Aschengrau, George R. Seage III. Fourth edition. 2020

The Approach and Evolution of Epidemiology
Measures of Disease Frequency
Comparing Disease Frequencies
Sources of Public Health Data
Descriptive Epidemiology
Overview of Epidemiological Study Designs
Experimental Studies
Cohort Studies
Case-Control Studies
Bias
Confounding
Random Error
Effect Measure Modification
Critical Review of Epidemiological Studies
The Epidemiological Approach to Causation
Screening in Public Health Practice
Ethics in Research Involving Human Participants

"Essentials of Epidemiology in Public Health provides students with a basic understanding of the principles and applications of epidemiology, explaining difficult topics such as bias, confounding, random error, and the role of statistics in epidemiology, and placing a major emphasis on study design"-- Provided by publisher

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