Skip to:Content
|
Bottom
Cover image for An introduction to Stata for health researchers
Title:
An introduction to Stata for health researchers
Personal Author:
Edition:
3rd ed.
Publication Information:
College Station, Tex. : Stata Press, 2010
Physical Description:
xxii, 340 p. : ill. ; 26 cm.
ISBN:
9781597180771
Title Subject:
Added Author:

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010304246 R853.S7 J88 2010 Open Access Book Book
Searching...

On Order

Summary

Summary

An Introduction to Stata for Health Researchers, Third Editionsystematically covers data management, simple description and analysis, and more advanced analyses that are most often used in health research, such as regression models, survival analysis, measurement, and diagnosis. It also describes many graph types as well as how to modify the appearance of a graph.

Throughout the text, the authors emphasize the importance of good documentation habits to prevent errors and wasted time. They demonstrate the use of strategies and tools for documentation. Robust data sets can be downloaded from the book's website.

What's New
This third edition presents some of the new features in Stata 11, including the new, flexible syntax for factor variables. It also incorporates Stata 11 in the rewritten chapters on regression and survival analysis. Taking into account the improved availability of online documentation, this edition points to further reading in the online manuals.


Author Notes

Svend Juulis a part-time lecturer in epidemiology in the School of Public Health at Aarhus University in Denmark. He has extensive experience in teaching epidemiology, Stata, and other computer programs to medical students and Ph.D. students in the health sciences.

Morten Frydenbergis an associate professor of biostatistics in the School of Public Health at Aarhus University in Denmark. He has more than 20 years of experience as a biostatistical consultant in the health sciences and has taught numerous courses in applied biostatistics at the graduate and postgraduate levels.


Go to:Top of Page