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Introductory biostatistics for the health sciences modern applications including bootstrap /

Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.: Emphasis on outliers is discussed by way of detection and treatment.; Resampling statistics software is incorporated throughout.; Motivating applications are presented in light of honest theory.; Plentifu...

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Bibliographic Details
Main Authors: Chernick, Michael R
Corporate Authors: John Wiley & Sons
Group Author: Friis, Robert H
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics
Subjects:
Medical statistics
Biometry
Statistics as Topic > methods
Biometry > methods
Epidemiologic Methods
MATHEMATICS > Probability & Statistics > General
Statistische methoden
Geneeskunde
Biostatistics > General introductory medical sciences > Public health.
Electronic resource
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/0471458716
Summary: Accessible to medicine- and/or public policy-related audiences, as well as most statisticians.: Emphasis on outliers is discussed by way of detection and treatment.; Resampling statistics software is incorporated throughout.; Motivating applications are presented in light of honest theory.; Plentiful exercises are sprinkled throughout.
Item Description: Print version issued in series: Wiley series in probability and statistics.
Carrier Form: 1 online resource (xvii, 406 pages) : illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 047141137X
9780471411376
0471458716
9780471458715
9780471458654
0471458651
1280366265
9781280366260
Index Number: R853
CLC: R195.1
Contents: What is statistics? How is it applied to the health sciences? -- Defining populations and selecting samples -- Systematic organization and display of data -- Summary statistics -- Basic probability -- The normal distribution -- Sampling distributions for means -- Estimating population means -- Tests of hypotheses -- Inferences regarding proportions -- Categorical data and chi-square tests -- Correlation, linear regression, and logistic regression -- One-way analysis of variance -- Nonparametric methods -- Analysis of survival times -- Software packages for statistical analysis.

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