Describing Epidemiologic Data | Field Epi Manual | CDC
2024年8月8日 · As a field epidemiologist, you will collect and assess data from field investigations, surveillance systems, vital statistics, or other sources. This task, called descriptive epidemiology, answers the following questions about disease, injury, or environmental hazard occurrence: What? How much? When? Where? Among whom?
Concepts and techniques for managing, editing, analyzing and interpreting data from epidemiologic studies. This chapter contains a great deal of material and goes beyond what you are expected to learn for this course (i.e., for examination questions).
Statistical Analysis of Epidemiologic Data | Oxford Academic
2004年6月10日 · This text provides a clear understanding of the statistical methods that are widely used in epidemiologic research without depending on advanced mathematical or statistical theory. By applying these methods to actual data, this book reveals the strengths and weaknesses of each analytic approach.
The Epidemiologist R Handbook
2024年9月18日 · Objective: Serve as a quick R code reference manual (online and offline) with task-centered examples that address common epidemiological problems. Are you just starting with R? Try our free interactive tutorials or synchronous, virtual intro course used by US CDC, WHO, and 400+ other health agencies and Field Epi Training Programs worldwide.
Epidemiological study designs and principles of data analysis: A ...
Epidemiological studies are unified by their common goals and by their basis in defined populations. The case series (or register-based study) includes examination of trends in deaths, cancers, notifiable diseases, and hospitalizations. Case–control studies are analysed by comparing the exposure to risk factors in cases to those in controls.
Epidemiological study design and principles of data analysis: An ...
2008年8月28日 · Epidemiological studies have apparently distinct designs but are unified by their common goal to understand the frequency and causes of disease, by their strategy of seeking associations between exposures (potential causes) and outcomes (disease), by their utilization of the survey method, and by their basis in defined populations.
Analysis of Epidemiologic Data Using R | SpringerLink
This book addresses the description and analysis of occurrence data frequently encountered in epidemiological studies. With the occurrence of Covid-19, people have been exposed to the analysis and interpretation of epidemiological data. To be informed consumers of this information, people need to understand the nature and analysis of these data.
Introduction: An important objective of epidemiological research is to identify risk factors for disease. Depending on the particular question being asked, cohort studies, case-control studies, or cross-sectional studies are con-ducted.
Epidemiology | Study Design and Data Analysis, Third Edition
2013年12月27日 · 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 …
Basic Data Analysis – Big Data for Epidemiology: Applied Data Analysis ...
2020年8月5日 · The first step is data selection, which is the process of determining the appropriate data type and source, as well as suitable instruments to collect data. Once a research question has been solidified, the next step in secondary data analysis is to determine the appropriate data source.