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UNIVERSITY OF AGRICULTURAL SCIENCES

Fundamentals of biostatistics / Bernard Rosner.

By: Rosner, Bernard (Bernard A.)Material type: TextTextPublisher: Belmont, CA : Thomson-Brooks/Cole, 2006Edition: 6th edDescription: xix, 868 pages. : illustrations ; 25 cm. 1 CD-ROM (4 3/4 in.)ISBN: 0534418201; 9780534418205; 0495010839; 9780495010838; 9780495064411; 0495064416Subject(s): Biometry | Medical statistics | Biometry | Biometrie | Statistique medicale | biometrics | Biometry | Medical statisticsDDC classification: 574.0182 LOC classification: QH323.5 | .R674 2006Online resources: Table of contents | Contributor biographical information | Publisher description
Contents:
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 -- Tables.
Scope and content: This 6th edition offers a practical introduction to the methods, techniques, and computation of statistics on human subjects. This text will help you master the statistical methods most often used in medical literature and medical research. Every new concept is developed through worked-out examples taken from current medical research. Statistical applications pertaining almost exclusively to human subjects of medical research make this text an ideal starting point for anyone in the premed, nursing, or allied health fields.
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Reference Reference GKVK Library
574.0182 ROS (Browse shelf) Not for loan 130064

Accompanying CD-ROM contains a student study guide, and data sets in the formats of Minitab, SPSS, SAS, JMP, Excel, and ASCII.

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 -- Tables.

This 6th edition offers a practical introduction to the methods, techniques, and computation of statistics on human subjects. This text will help you master the statistical methods most often used in medical literature and medical research. Every new concept is developed through worked-out examples taken from current medical research. Statistical applications pertaining almost exclusively to human subjects of medical research make this text an ideal starting point for anyone in the premed, nursing, or allied health fields.

System requirements: Microsoft Windows.

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