Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: • multiple choice questions for both student and lecturer use • full Powerpoint slides for lecturers • practical exercises using SPSS • additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.
Statistics for Health Sciences /cSean Saunders
Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many area
The book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students who plan to enter a health sciences program.
5.6.1: Weighted Mean The weighted mean is defined as follows (Kish 1965; Lee & Forthofer 2006; SAS Institute, 2008a: 6487; StataCorp 2009d: 1024):13 (5.3) where n is the sample size, i represents each individual case, Y i are the values ...
This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures.
Basic Statistics for the Health Sciences
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book.
For contingency tables, this is known as Pearson's residual: Observed√ Predicted . Res = Predicted − Pearson's residual tells us about overprediction and underprediction within each cell of the table. To summarize across groups, ...
Applied Statistics in Health Sciences
The interested reader can consult one of many mathematical statistics textbooks, for example, Larsen and Marx (1) or Rice (2). In the sections that follow, some of the more frequently encountered sampling distributions are discussed.