ActivEpi Version 1.1 multimedia CD
| Author: |
David G. Kleinbaum |
| Publisher: |
Springer |
| Copyright: |
2004 |
| ISBN-10: |
0-387-21015-6 |
| ISBN-13: |
978-0-387-21015-5 |
| Price: |
$39.00 |
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Available for Windows and Macintosh only
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Comment from the Stata technical group:
ActiveEpi is an interactive, multimedia, introductory epidemiology
course on CD and is organized as an interactive workbook. Students "flip"
the pages of the book by clicking on the lower corner. Each page contains a
mixture of text and links to instructional videos, example dialogs, and
datasets. The "electronic workbook" format makes this ideal for self-study
since it allows students to set their own learning pace. After each
session, students can save their progress and, upon resuming the course,
pick up where they left off.
The technology is innovative and makes the learning experience a lot more
fun, and the course materials are first-rate. Even if this course had taken
a more conventional form, such as a short course or textbook, it would still
be well worth the investment in time and money. All the topics that are
vital to a basic knowledge of epidemiology are presented: study designs
(including case–control and cohort studies), issues of bias and
confounding, the analysis of rates, effect measures, stratified analysis,
and others.
Table of contents
1. Introduction
II. Objects and Methods of Epidemiological Research
2. Epidemiological Research: An Overview
3. Epidemiological Study Designs
3.1 Study Types/Options
3.2 Observational Study Designs
Cohort Studies
What is Good and Bad About a Cohort Study
An Example of a Retrospective Cohort Study
An Example of a Prospective Cohort Study
Quiz on cohort studies
3.3 Case–Control and Cross Sectional
3.4 Hybrid Designs
4. Measures of Disease Frequency
5. Measures of Effect
6. Measures of Potential Impact
II. Validity of Epidemiologic Research
7. Validity and General Considerations
8. Selection Bias
9. Information Bias
10. Confounding
11. Confounding Involving Several Risk Factors
III. Epidemiologic Analysis
12. Statistical Inferences About Effect Measures
13. Control of Extraneous Factors
14. Stratified Analysis
15. Matching
IV. Appendix A
16. Reference
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