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Fundamentals of biostatistics / Bernard Rosner, Harvard University.
Publisher: Boston, MA : Cengage Learning, [2016]Copyright date: 2016Edition: 8th editionDescription: xix, 927 pages : illustrations ; 26 cmContent type:- text
- unmediated
- volume
- 9781305268920
- 130526892X
- QH 323.5 .R674 2016
Contents:
Summary: FUNDAMENTALS OF BIOSTATISTICS leads you through the methods, techniques, and computations of statistics necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.
Descriptive statistics -- Probability -- Discrete probability distributions -- Continuous probability distributions -- Estimation -- Hypothesis testing : one-sample inference -- Hypothesis testing : two-sample inference -- Nonparametric methods -- Hypothesis testing : categorical data -- Regression and correlation methods -- Multisample inference -- Design and analysis techniques for epidemiologic studies -- Hypothesis testing : person-time data.
| Item type | Current library | Home library | Shelving location | Call number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
American University in Dubai | American University in Dubai | Main Collection | QH 323.5 .R674 2016 (Browse shelf(Opens below)) | Available | 5247057 |
Includes bibliographical references and index.
Descriptive statistics -- Probability -- Discrete probability distributions -- Continuous probability distributions -- Estimation -- Hypothesis testing : one-sample inference -- Hypothesis testing : two-sample inference -- Nonparametric methods -- Hypothesis testing : categorical data -- Regression and correlation methods -- Multisample inference -- Design and analysis techniques for epidemiologic studies -- Hypothesis testing : person-time data.
FUNDAMENTALS OF BIOSTATISTICS leads you through the methods, techniques, and computations of statistics necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.
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