**ISBN:** 1597180777

**Author:** Morten Frydenberg,Svend Juul

**Language:** English

**Publisher:** Stata Press; 3rd edition (August 23, 2010)

**Pages:** 340

**Category:** Mathematics

**Subcategory:** Science

**Rating:** 4.6

**Votes:** 919

**Size Fb2:** 1323 kb

**Size ePub:** 1646 kb

**Size Djvu:** 1170 kb

**Other formats:** lrf mbr rtf doc

Morten Frydenberg is an associate professor of biostatistics in the School of Public Health at Aarhus University in Denmark

It also incorporates Stata 11 in the rewritten chapters on regression and survival analysis. Morten Frydenberg is 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.

The reader will learn not only how to use Stata for statistical analysis but also the skills needed to make the analysis reproducible. The authors use a friendly, down-to-earth tone and include tips gained from a lifetime of collaboration and consulting.

Morten Frydenberg is an associate professor of biostatistics in the School of Public Health at Aarhus University in Denmark

Morten Frydenberg is an associate professor of biostatistics in the School of Public Health at Aarhus University in Denmark.

Morten Frydenberg is an associate professor of biostatistics at the School of Public Health, Aarhus University. He has a PhD in theoretical statistics and more than 20 years of experience as a biostatistical consultant in health sciences

Morten Frydenberg is an associate professor of biostatistics at the School of Public Health, Aarhus University. He has a PhD in theoretical statistics and more than 20 years of experience as a biostatistical consultant in health sciences. Frydenberg has taught numerous courses in applied biostatistics at both graduate and postgraduate levels. Paperback: 346 pages. The book is based on the assumption that the reader has some basic knowledge of statistics but no knowledge of Stata.

Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts.

Svend Juul and Morten Frydenberg’s An Introduction to Stata for . The authors show how Stata views data, thus allowing the reader to see the variety of possible data structures

Svend Juul, Morten Frydenberg.

Svend Juul, Morten Frydenberg. A chapter on graphics explores most graph types and describes how to modify the appearance of a graph before submitting it for publication.

by Svend Juul(Author), Morten Frydenberg(Author). Juul has extensive experience in teaching epidemiology to medical students and others and in teaching Stata and other computer programs to PhD students in the health sciences

by Svend Juul(Author), Morten Frydenberg(Author). Juul has extensive experience in teaching epidemiology to medical students and others and in teaching Stata and other computer programs to PhD students in the health sciences. Morten Frydenberg is an associate professor of biostatistics at the School of Public Health, Aarhus University.

Morten Frydenberg, Svend Juul. Place of Publication. Life Sciences: General. Svend Juul is a former associate professor, now a part-time lecturer, in epidemiology, at the School of Public Health, Aarhus University.

An Introduction to Stata for Health Researchers, Third Edition systematically 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 NewThis 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.

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