ActivEpi 2.0/ David G. Kleinbaum
著者
書誌事項
ActivEpi 2.0/ David G. Kleinbaum
Data Description , Springer, c2008
機械可読データファイル
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注記
System requirements for Windows: Windows 98/00/NT/XP; Pentium or better; 128MB of installed RAM; Monitor 800 x 600, 256 colors; 4X CD-ROM drive; 8-bit sound card, or better; QuickTime compatible
System requirements for Macintosh: OS v10.3.x.1 or better; Processor: PoverMac G4, G5 or Intel core; RAM: 256MB; Monitor 800 x 600, 256 colors; CD-ROM; Sound card
Title from disc label
内容説明・目次
内容説明
ActivEpi is a complete a multimedia presentation on CD-ROM of the material found in an introductory epidemiology course. Created by David G. Kleinbaum, a very successful textbook author and internationally reknown teacher of epidemiology and biostatistics, ActivEpi includes 15 lessons and over 50 hours of content. ActivEpi can be used in a variety of teaching formats: distance learning, self-paced learning on-campus courses, and short courses. Also, virtually all of the textual material on the ActivEpi CD-ROM is included in the ActivEpi Companion Textbook, which is also available for purchase from Springer.
The ActivEpi CD uses: A full array of media (e.g., video, animation, audio) to motivate, explain, visualize and apply epidemiological concepts; Narrated Expositions to teach the concepts using high-quality audio synchronized with text, pictures and animations; Quizzes to provide self-evaluation of basic terms and concepts; Data Desk to provide practice applying the methods learned to real data; Navigational Tools such as a dynamic table of contents, index and glossary, to allow easy-to-use methods for working through the content; Web Links to augment the material on the CD with complementary content authored by others.
目次
Introduction.- Epidemiologic research: An overview.- Epidemiologic study designs.- Measures of disease frequency.- Measure of effect.- Measures of potential impact.- Validity and general considerations.- Selection bias.- Information bias.- Confounding.- Confounding involving several risk factors.- Statistical inferences about effect measures.- Control of extraneous factors.- Stratified analysis.- Matching.
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