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Unlimited
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Can lend chapters, not whole ebooks
Details
Title
Statistics for clinicians / Andrew Owen.
Author
ISBN
9783031309045 (electronic bk.)
3031309049 (electronic bk.)
9783031309038
3031309030
3031309049 (electronic bk.)
9783031309038
3031309030
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (x, 154 pages) : illustrations (some color)
Item Number
10.1007/978-3-031-30904-5 doi
Call Number
RA409
Dewey Decimal Classification
610.2/1
Summary
This book provides clinical medicine readers with a detailed explanation of statistical concepts using non-technical terms. This allows clinicians and others without specialist statistical knowledge to understand the medical literature where such concepts are used. Many examples from the medical literature are used to exemplify how these concepts are used in practice. Current books written for clinicians fall into two broad categories. Simple texts that are not designed to cover many important statistical concepts used in the medical literature. Comprehensive texts which cover many statistical principles in detail, including statistical theory, but which are more challenging to read and do not always cover many important statistical techniques used in the medical literature. This book assists in the understanding of these techniques. Statistics for Clinicians covers such topics in a robust non-technical manner accessible to clinicians and is intended for hospital consultants, junior doctors and general practitioners. Undergraduates in biomedical sciences and medicine may also find some sections valuable.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 12, 2023).
Available in Other Form
Print version: 9783031309038
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Record Appears in
Table of Contents
Introduction
Hypothesis testing and p-values
Regression
Survival analysis
Bayesian statistics
Diagnostic tests
Meta analysis
Appendix: Equations; Graphs; Indices; The logarithm.
Hypothesis testing and p-values
Regression
Survival analysis
Bayesian statistics
Diagnostic tests
Meta analysis
Appendix: Equations; Graphs; Indices; The logarithm.