This is a highly accessible textbook on understanding statistics for the health sciences, both conceptually and via SPSS. The authors give clear explanations of the concepts underlying statistical analyzes and descriptions of how these analyzes are applied in health sciences research without complex statistical formulae. The book takes students from the basics of research design, hypothesis testing, and descriptive statistical techniques through to more advanced inferential statistical tests that health sciences students are likely to encounter. Exercises and tips throughout the book allow students to practice using SPSS.
Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many area
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 ...
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, ...
Basic Statistics for the Health Sciences
The first introductory statistics text written specifically to make statistics accessible for health science students .
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.
Applied Statistics in Health Sciences
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.
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.
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.