The Resource Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky
Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky
Resource Information
The item Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 "Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multipart problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"Provided by publisher
 Language
 eng
 Edition
 2nd ed., completely rev.
 Extent
 xxvi, 447 pages, 29 unnumbered pages
 Contents

 Introducing statistics
 Statistics and probability are not intuitive
 Why statistics can be hard to learn
 From sample to population
 Confidence intervals
 Confidence interval of a proportion
 Confidence interval of survival data
 Confidence interval of counted data
 Continuous variables
 Graphing continuous data
 Types of variables
 Quantifying scatter
 The Gaussian distribution
 The lognormal distribution and geometric mean
 Confidence interval of a mean
 The theory of confidence intervals
 Error bars
 P values and significance
 Introducing P values
 Statistical significance and hypothesis testing
 Relationship between confidence intervals and statistical significance
 Interpreting a result that is statistically significant
 Interpreting a result that is not statistically significant
 Statistical power
 Testing for equivalence or noninferiority
 Challenges in statistics
 Multiple comparisons concepts
 Multiple comparisons traps
 Gaussian or not?
 Outliers
 Statistical tests
 Comparing observed and expected distributions
 Comparing proportions : prospective and experimental studies
 Comparing proportions : casecontrolled studies
 Comparing survival curves
 Comparing two means : unpaired ttest
 Comparing two paired groups
 Correlation
 Fitting models to data
 Simple linear regression
 Introducing models
 Comparing models
 Nonlinear regression
 Multiple, logistic, and proportional hazards regression
 Multiple regression traps
 Rest of statistics
 Analysis of variance
 Multiple comparison tests after ANOVA
 Nonparametric methods
 Sensitivity, specificity, and receiveroperator characteristic curves
 Sample size
 Putting it all together
 Statistical advice
 Choosing a statistical test
 Capstone example
 Review problems
 Answers to review problems
 Isbn
 9780199730063
 Label
 Intuitive biostatistics : a nonmathematical guide to statistical thinking
 Title
 Intuitive biostatistics
 Title remainder
 a nonmathematical guide to statistical thinking
 Statement of responsibility
 Harvey Motulsky
 Language
 eng
 Summary
 "Thoroughly revised and updated, the second edition of Intuitive Biostatistics retains and refines the core perspectives of the previous edition: a focus on how to interpret statistical results rather than on how to analyze data, minimal use of equations, and a detailed review of assumptions and common mistakes. Intuitive Biostatistics, Completely Revised Second Edition, provides a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists. New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor. Chapter 11 explains the lognormal distribution, an essential topic omitted from many other statistics books. Chapter 21 contrasts testing for equivalence with testing for differences. Chapters 22, 23, and 40 explore the pervasive problem of multiple comparisons. Chapters 24 and 25 review testing for normality and outliers. Chapter 35 shows how statistical hypothesis testing can be understood as comparing the fits of alternative models. Chapters 37 and 38 provide a brief introduction to multiple, logistic, and proportional hazards regression. Chapter 46 reviews one example in great depth, reviewing numerous statistical concepts and identifying common mistakes. Chapter 47 includes 49 multipart problems, with answers fully discussed in Chapter 48. New "Q and A" sections throughout the book review key concepts"Provided by publisher
 Cataloging source
 DNLM/DLC
 http://library.link/vocab/creatorName
 Motulsky, Harvey
 Illustrations
 illustrations
 Index
 index present
 LC call number
 R853.S7
 LC item number
 M68 2010
 Literary form
 non fiction
 Nature of contents
 bibliography
 NLM call number
 WA 950
 NLM item number
 M922i 2010
 http://library.link/vocab/subjectName

 Medicine
 Biometry
 Biomedical Research
 Label
 Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Introducing statistics  Statistics and probability are not intuitive  Why statistics can be hard to learn  From sample to population  Confidence intervals  Confidence interval of a proportion  Confidence interval of survival data  Confidence interval of counted data  Continuous variables  Graphing continuous data  Types of variables  Quantifying scatter  The Gaussian distribution  The lognormal distribution and geometric mean  Confidence interval of a mean  The theory of confidence intervals  Error bars  P values and significance  Introducing P values  Statistical significance and hypothesis testing  Relationship between confidence intervals and statistical significance  Interpreting a result that is statistically significant  Interpreting a result that is not statistically significant  Statistical power  Testing for equivalence or noninferiority  Challenges in statistics  Multiple comparisons concepts  Multiple comparisons traps  Gaussian or not?  Outliers  Statistical tests  Comparing observed and expected distributions  Comparing proportions : prospective and experimental studies  Comparing proportions : casecontrolled studies  Comparing survival curves  Comparing two means : unpaired ttest  Comparing two paired groups  Correlation  Fitting models to data  Simple linear regression  Introducing models  Comparing models  Nonlinear regression  Multiple, logistic, and proportional hazards regression  Multiple regression traps  Rest of statistics  Analysis of variance  Multiple comparison tests after ANOVA  Nonparametric methods  Sensitivity, specificity, and receiveroperator characteristic curves  Sample size  Putting it all together  Statistical advice  Choosing a statistical test  Capstone example  Review problems  Answers to review problems
 Control code
 470694492
 Dimensions
 24 cm
 Edition
 2nd ed., completely rev.
 Extent
 xxvi, 447 pages, 29 unnumbered pages
 Isbn
 9780199730063
 Isbn Type
 (pbk. : alk. paper)
 Lccn
 2009046932
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)470694492
 Label
 Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 Introducing statistics  Statistics and probability are not intuitive  Why statistics can be hard to learn  From sample to population  Confidence intervals  Confidence interval of a proportion  Confidence interval of survival data  Confidence interval of counted data  Continuous variables  Graphing continuous data  Types of variables  Quantifying scatter  The Gaussian distribution  The lognormal distribution and geometric mean  Confidence interval of a mean  The theory of confidence intervals  Error bars  P values and significance  Introducing P values  Statistical significance and hypothesis testing  Relationship between confidence intervals and statistical significance  Interpreting a result that is statistically significant  Interpreting a result that is not statistically significant  Statistical power  Testing for equivalence or noninferiority  Challenges in statistics  Multiple comparisons concepts  Multiple comparisons traps  Gaussian or not?  Outliers  Statistical tests  Comparing observed and expected distributions  Comparing proportions : prospective and experimental studies  Comparing proportions : casecontrolled studies  Comparing survival curves  Comparing two means : unpaired ttest  Comparing two paired groups  Correlation  Fitting models to data  Simple linear regression  Introducing models  Comparing models  Nonlinear regression  Multiple, logistic, and proportional hazards regression  Multiple regression traps  Rest of statistics  Analysis of variance  Multiple comparison tests after ANOVA  Nonparametric methods  Sensitivity, specificity, and receiveroperator characteristic curves  Sample size  Putting it all together  Statistical advice  Choosing a statistical test  Capstone example  Review problems  Answers to review problems
 Control code
 470694492
 Dimensions
 24 cm
 Edition
 2nd ed., completely rev.
 Extent
 xxvi, 447 pages, 29 unnumbered pages
 Isbn
 9780199730063
 Isbn Type
 (pbk. : alk. paper)
 Lccn
 2009046932
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)470694492
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Intuitivebiostatisticsanonmathematicalguide/iLMiL8JjB3w/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Intuitivebiostatisticsanonmathematicalguide/iLMiL8JjB3w/">Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Intuitivebiostatisticsanonmathematicalguide/iLMiL8JjB3w/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Intuitivebiostatisticsanonmathematicalguide/iLMiL8JjB3w/">Intuitive biostatistics : a nonmathematical guide to statistical thinking, Harvey Motulsky</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>