A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.

Want to learn SAS software but you don't know where to start? This friendly easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! Topics cover the gamut of base SAS concepts, an introduction to SAS/STAT, and getting your data into SAS (including PROC IMPORT and PROC EXPORT). You'll find a generous amount of information addressing basic SAS concepts (such as DATA and PROC steps); using the SAS windowing environment; working with permanent and temporary SAS data sets; inputting, and reading data; modifying data; introduction to the Output Delivery System (ODS), which enables you to generate HTML files for viewing with an Internet browser; introduction to macros; debugging SAS programs (including the DATA step debugger); and appendices to help programmers of other software languages become comfortable with the SAS programming language. Each topic is divided into an easy-to-use, self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see them work! More seasoned programmers will find this guide a useful reference to have on hand. Supports releases 7.00 and higher of SAS software.

Product Description: Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods...read more