Introductory statistics for the health sciences / Lise DeShea and Larry E. Toothaker.
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TextPublication details: Boca Raton : CRC Press, ©2015.Description: xv, 587 p. : illustrations (some color) ; 25 cmISBN: - 9781466565333 (hardcover : alk. paper)
- 000SB:610 23 D456
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:610 D456 (Browse shelf(Opens below)) | Available | 136928 |
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| 000SB:610 C953 Elementary statistics with applications in medicine | 000SB:610 C953 Elementary statistics with applications in medicine | 000SB:610 D372 Converting data into evidence : | 000SB:610 D456 Introductory statistics for the health sciences / | 000SB:610 D541 Network meta-analysis for decision-making / | 000SB:610 D923 Clinical biostatistics | 000SB:610 D923 Basic statistics |
Includes bibliographical references and index.
1. The frontier between knowledge and ignorance --
2. Describing distributions with statistics: middle, spread and skewness --
3. Exploring data visually --
4. Relative location and normal distributions --
5. Bivariate correlation --
6. Probability and risk --
7. Sampling distributions and estimation --
8. Hypothesis testing and interval estimation --
9. Types of errors and power --
10. One-sample tests and estimates --
11. Two-sample tests and estimates --
12. Tests and estimates for two or more samples --
13. Tests and estimates for bivariate linear relationships --
14. Analysis of frequencies and ranks --
15. Choosing an analysis plan --
Appendices.
ntroductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many areas of the health sciences, including medicine, nursing, pharmacy, dentistry, and physical therapy, but are understandable to students in any field. 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. The book begins by explaining the research context for statistics in the health sciences, which provides students with a framework for understanding why they need statistics as well as a foundation for the remainder of the text. It emphasizes kinds of variables and their relationships throughout, giving a substantive context for descriptive statistics, graphs, probability, inferential statistics, and interval estimation. The final chapter organizes the statistical procedures in a decision tree and leads students through a process of assessing research scenarios.
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