Understanding Statistics and Experimental Design : (Record no. 305361)

MARC details
000 -LEADER
fixed length control field 05759nam a22004573i 4500
001 - CONTROL NUMBER
control field EBC5920949
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240122001152.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231124s2019 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030034993
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783030034986
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC5920949
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL5920949
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1117773317
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number R850.A1-854
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Herzog, Michael H.
245 10 - TITLE STATEMENT
Title Understanding Statistics and Experimental Design :
Remainder of title How to Not Lie with Statistics.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer International Publishing AG,
Date of production, publication, distribution, manufacture, or copyright notice 2019.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice �2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (146 pages)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Learning Materials in Biosciences Series
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Intro -- Preface -- Science, Society, and Statistics -- About This Book -- Contents -- Part I The Essentials of Statistics -- 1 Basic Probability Theory -- Contents -- 1.1 Confusions About Basic Probabilities: Conditional Probabilities -- 1.1.1 The Basic Scenario -- 1.1.2 A Second Test -- 1.1.3 One More Example: Guillain-Barr�e Syndrome -- 1.2 Confusions About Basic Probabilities: The Odds Ratio -- 1.2.1 Basics About Odds Ratios (OR) -- 1.2.2 Partial Information and the World of Disease -- References -- 2 Experimental Design and the Basics of Statistics: Signal Detection Theory (SDT) -- Contents -- 2.1 The Classic Scenario of SDT -- 2.2 SDT and the Percentage of Correct Responses -- 2.3 The Empirical d -- 3 The Core Concept of Statistics -- Contents -- 3.1 Another Way to Estimate the Signal-to-Noise Ratio -- 3.2 Undersampling -- 3.2.1 Sampling Distribution of a Mean -- 3.2.2 Comparing Means -- 3.2.3 The Type I and II Error -- 3.2.4 Type I Error: The p-Value is Related to a Criterion -- 3.2.5 Type II Error: Hits, Misses -- 3.3 Summary -- 3.4 An Example -- 3.5 Implications, Comments and Paradoxes -- Reference -- 4 Variations on the t-Test -- Contents -- 4.1 A Bit of Terminology -- 4.2 The Standard Approach: Null Hypothesis Testing -- 4.3 Other t-Tests -- 4.3.1 One-Sample t-Test -- 4.3.2 Dependent Samples t-Test -- 4.3.3 One-Tailed and Two-Tailed Tests -- 4.4 Assumptions and Violations of the t-Test -- 4.4.1 The Data Need to be Independent and Identically Distributed -- 4.4.2 Population Distributions are Gaussian Distributed -- 4.4.3 Ratio Scale Dependent Variable -- 4.4.4 Equal Population Variances -- 4.4.5 Fixed Sample Size -- 4.5 The Non-parametric Approach -- 4.6 The Essentials of Statistical Tests -- 4.7 What Comes Next? -- Part II The Multiple Testing Problem -- 5 The Multiple Testing Problem -- Contents -- 5.1 Independent Tests.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5.2 Dependent Tests -- 5.3 How Many Scientific Results Are Wrong? -- 6 ANOVA -- Contents -- 6.1 One-Way Independent Measures ANOVA -- 6.2 Logic of the ANOVA -- 6.3 What the ANOVA Does and Does Not Tell You: Post-Hoc Tests -- 6.4 Assumptions -- 6.5 Example Calculations for a One-Way Independent Measures ANOVA -- 6.5.1 Computation of the ANOVA -- 6.5.2 Post-Hoc Tests -- 6.6 Effect Size -- 6.7 Two-Way Independent Measures ANOVA -- 6.8 Repeated Measures ANOVA -- 7 Experimental Design: Model Fits, Power, and Complex Designs -- Contents -- 7.1 Model Fits -- 7.2 Power and Sample Size -- 7.2.1 Optimizing the Design -- 7.2.2 Computing Power -- 7.3 Power Challenges for Complex Designs -- 8 Correlation -- Contents -- 8.1 Covariance and Correlations -- 8.2 Hypothesis Testing with Correlations -- 8.3 Interpreting Correlations -- 8.4 Effect Sizes -- 8.5 Comparison to Model Fitting, ANOVA and t-Test -- 8.6 Assumptions and Caveats -- 8.7 Regression -- Part III Meta-analysis and the Science Crisis -- 9 Meta-analysis -- Contents -- 9.1 Standardized Effect Sizes -- 9.2 Meta-analysis -- Appendix -- Standardized Effect Sizes Beyond the Simple Case -- Extended Example of the Meta-analysis -- 10 Understanding Replication -- Contents -- 10.1 The Replication Crisis -- 10.2 Test for Excess Success (TES) -- 10.3 Excess Success from Publication Bias -- 10.4 Excess Success from Optional Stopping -- 10.5 Excess Success and Theoretical Claims -- Reference -- 11 Magnitude of Excess Success -- Contents -- 11.1 You Probably Have Trouble Detecting Bias -- 11.2 How Extensive Are These Problems? -- 11.3 What Is Going On? -- 11.3.1 Misunderstanding Replication -- 11.3.2 Publication Bias -- 11.3.3 Optional Stopping -- 11.3.4 Hypothesizing After the Results Are Known (HARKing) -- 11.3.5 Flexibility in Analyses -- 11.3.6 Misunderstanding Prediction.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 11.3.7 Sloppiness and Selective Double Checking -- 12 Suggested Improvements and Challenges -- Contents -- 12.1 Should Every Experiment Be Published? -- 12.2 Preregistration -- 12.3 Alternative Statistical Analyses -- 12.4 The Role of Replication -- 12.5 A Focus on Mechanisms.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher supplied metadata and other sources.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Francis, Gregory.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Clarke, Aaron.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Herzog, Michael H.
Title Understanding Statistics and Experimental Design
Place, publisher, and date of publication Cham : Springer International Publishing AG,c2019
International Standard Book Number 9783030034986
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Learning Materials in Biosciences Series
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=5920949">https://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=5920949</a>
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