Basic biostatistics : statistics for public health practice / B. Burt Gerstman.
Material type: TextPublisher: Sudbury, Mass. : Jones and Bartlett Publishers, [2008]Copyright date: ©2008Description: xvii, 557 pages : illustrations ; 23 cmContent type:- text
- unmediated
- volume
- 0763735809
- 9780763735807
- 362.10727 22
- RA409 .G47 2008
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | City Campus City Campus Main Collection | 362.10727 GER (Browse shelf(Opens below)) | 1 | Available | A430995B |
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362.1072 RAP New qualitative methodologies in health and social care research / | 362.10723 DOI Doing a systematic review : a student's guide / | 362.10723 LIA Qualitative research methods / | 362.10727 GER Basic biostatistics : statistics for public health practice / | 362.1082 GIL Indian women in Fiji : their health strategies / | 362.10820971 EXP Exposing privatization : women and health care reform in Canada / | 362.10820993 ABB Making a difference : women's impact on New Zealand society : health, 1915-1985 / |
Includes bibliographical references and index.
Pt. I. General concept and techniques -- Ch. 1. Measurement -- Ch. 2. Types of studies -- Ch. 3. Frequency distributions -- Ch. 4. Summary statistics -- Ch. 5. Probability concepts -- Ch. 6. Binomial probability distributions -- Ch. 7. Normal probability distributions -- Ch. 8. Introduction to statistical inference -- Ch. 9. Basics of hypothesis testing -- Ch. 10. Basics of confidence intervals -- Pt. II. Quantitative response variable -- Ch. 11. Inference about a mean -- Ch. 12. Comparing independent means -- Ch. 13. Comparing several means (one-way ANOVA) -- Ch. 14. Correlation and regression -- Ch. 15. Multiple linear regression -- Pt. III. Categorical response variable -- Ch. 16. Inference about a proportion -- Ch. 17. Comparing two proportions -- Ch. 18. Cross-tabulated counts -- Ch. 19. Stratified 2-by-2 tables.
"Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data encountered in public health and biomedical fields. The text puts equal emphasis on exploratory and confirmatory statistical methods. Sampling, exploratory data analysis, estimation, hypothesis testing, and power and precision are covered through detailed, illustrative examples." "With language, examples, and exercises that are accessible to students with modest mathematical backgrounds, this is the perfect introductory biostatistics text for undergraduates and graduates in various fields of public health."--BOOK JACKET.
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