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Download An Introduction to Stata for Health Researchers, Third Edition fb2, epub

by Morten Frydenberg,Svend Juul

Download An Introduction to Stata for Health Researchers, Third Edition fb2, epub

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.

Comments:

Jugore
This manual is great because:

1) It provides concrete examples to manipulate health services data (i.e. code for common data structuring and analysis)- not too complex, yet specific

2) It is organized well

3) It provides references to the STATA PDF document

I find I'm using this in combination with "The Workflow of Data Analysis Using STATA"

Good luck. M
Seevinev
This book is less functional than the help menu. Explanations are generally incoherent or not provided--analogous to learning Spanish from someone who only speaks Spanish. There are no explanations, and any substantial questions are "not covered in this book".
For example, I spent several hours trying to figure out how to import dates from Excel into Stata. Should be simple right? The book never provided the answer despite extensive time in the book and online appendices.
Voodoosida
This book gives clear and useful examples for anyone wanting to learn Stata programming in the health field and beyond. It covers a wide variety of topics from basic descriptive stats to advanced survival analysis. I found the review of the Epitab commands very useful. What was a big help throughout the book was the authors' suggestions for alternate analyses. For example, they cover incidence rate ratios using the "ir" command and provide examples for an alternate and more advanced analysis with the poisson command (for Poisson regression).

The book makes available many data sets free through Stata's website. They also tell you where to find helpful ado files and show you how to use them in the book. They also show you really cool commands and tips such as how to generate random numbers, runiform().

They devote a big section of the book to making graphs, covering everything from the basics to very detailed graphs. The book is very helpful and gives you a good foundation in health research. Reading it will give you a good foundation to handle just about any project from start to finish (e.g., from a power analysis to analyzing time-series data).

Although the book is an "intro" level book, it covers advanced topics in a clear and easy to understand manner. The only thing that I would suggest that the authors do in the next version is include a review of structural equation modeling but that is new to version 12 which came out after the book's third edition.

The book is written clearly, concisely, and is useful for beginning users or advanced users of Stata as well as statisticians of all levels. I highly recommend this book.

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