Basic biostatistics : statistics for public health practice / B. Burt Gerstman, professor, Department of Health Science, San Jose State University, San Jose, California.
Material type:
TextPublisher: Burlington, Massachusetts : Jones & Bartlett Learning, [2015]Edition: Second EditionDescription: xv, 644 p. : illustrations ; 23 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781284036015; 9781284025460 (pbk.); 1284025462 (pbk.)Subject(s): Biostatistics -- methods | Public Health PracticeDDC classification: 362.10727 LOC classification: RA409 | .G47 2015| Item type | Current location | Home library | Shelving location | Call number | Status | Date due | Barcode | Item holds |
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NUST School of Health Sciences (NSHS) | NUST School of Health Sciences (NSHS) | General Stacks | 362.10727 GER (Browse shelf) | Checked out | 01/01/2026 | NSHS-1852 |
Includes index.
Measurement -- Types of studies -- Frequency distributions -- Summary statistics -- Probability concepts -- Binomial probability distributions -- Normal probability distributions -- Introduction to statistical inference -- Basics of hypothesis testing -- Basics of confidence intervals -- Inference about a mean -- Comparing independent means -- Comparing several means (one-way analysis of variance) -- Correlation and regression -- Multiple linear regression -- Inference about a proportion -- Comparing two proportions -- Cross-tabulated counts -- Stratified 2-by-2 tables.
Basic Biostatistics is an introductory guide focusing on key biostatistical principles relevant to public health and biomedical fields. Emphasizing both exploratory and confirmatory statistical methods, the text covers essential topics such as sampling, exploratory data analysis, estimation, hypothesis testing, and concepts of power and precision. Organized into three parts, the book addresses foundational concepts, analytic techniques for quantitative responses, and methods for categorical responses. It includes illustrative examples and exercises, with solutions to odd-numbered problems provided, making it adaptable for varied instructional approaches. Additionally, it supports manual calculations and software tools like SPSS, StaTable, and WinPepi, allowing flexibility in learning and application.

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