Designed to assist those working in health research, An Introduction to Stata for Health Researchers, explains how to maximize the versatile Strata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.
Throughout the book, the authors emphasize the importance of good documentation habits to prevent errors and wasted time. To this effect, the book demonstrates the use of strategies and tools for documentation.
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.
Throughout the book, the authors emphasize the importance of good documentation habits to prevent errors and wasted time. To this effect, the book demonstrates the use of strategies and tools for documentation.
Demonstrating the use of strategies and tools for documentation, they provide robust examples and offer the datasets for download online. Updated to correspond to Stata 13, this fourth edition is written for both Windows and Mac users.
This book focuses on the analyses used most often in health research.
This book will be an invaluable tool for students and clinical and public health practitioners.
With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students.
... M. Survival Analysis: A Self-Learning Text. 2nd ed. New York: SpringerVerlag, 2005. Kleinbaum D, Kupper L, Nizam A, Muller K. Applied Regression Analysis and Other Multivariable Methods. 4th ed. Belmont, CA: Thomson Brooks, 2008.
In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short ...
The book presents a contemporary approach to econometrics, emphasizing the role of method-of-moments estimators, hypothesis testing, and specification analysis while providing practical examples showing how the theory is applied to real ...