Intuitive Biostatistics: a Nonmathematical Guide to Statistical Thinking, 2nd R,

Description: About this productProduct IdentifiersPublisherOxford University Press, IncorporatedISBN-100199730067ISBN-139780199730063eBay Product ID (ePID)80059570Product Key FeaturesNumber of Pages512 PagesPublication NameIntuitive Biostatistics : a Nonmathematical Guide to Statistical ThinkingLanguageEnglishSubjectBiostatistics, Research, Life Sciences / BiologyPublication Year2010TypeTextbookAuthorHarvey MotulskySubject AreaScience, MedicalFormatTrade PaperbackDimensionsItem Height1 inItem Weight21.2 OzItem Length9.2 inItem Width6.2 inAdditional Product FeaturesEdition Number2Intended AudienceCollege AudienceLCCN2009-046932Reviews"The second edition ofIntuitive Biostatisticsis a substantial improvement. I am particularly impressed by the chapters on multiple comparisons. This is increasingly important for such molecular trickery as gene expression chips, which produce a very large number of possible comparisons. Individual comparisons and even a Bonferroni correction are often inadequate. Motulsky deals with a newer method, false discovery rate (FDR), in a clear, understandable way. I'll be recommending the new edition with even greater enthusiasm."--James F. Crow,University of Wisconsin "This splendid book meets a major need in public health, medicine, and biomedical research training--a user-friendly biostatistics text for non-mathematicians that clearly explains how to make sense of statistical results and how to avoid being confused by statistical nonsense. You may enjoy statistics for the first time!"--Gilbert S. Omenn, Professor of Medicine, Genetics, Public Health, and Computational Medicine & Bioinformatics,University of Michigan "I wish everyone involved in medical and pharmaceutical research would readIntuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking.There is very little about cookbook techniques in this book; instead it concentrates on the underlying assumptions, and just why some inferences are valid and some are not. It's not easy going, but statistical inference isn't an easy subject. Alas, now that computers have made it easy to do the cookbook work to compile all kinds of statistical numbers, many think that the subject is easy, and computers can do all the work.IntuitiveBiostatisticswill disabuse them of that error. The book uses many examples from pharmacology research. Recommended." --Jerry Pournelle,Chaos Manor Reviews, "This splendid book meets a major need in public health, medicine, and biomedical research training--a user-friendly biostatistics text for non-mathematicians that clearly explains how to make sense of statistical results and how to avoid being confused by statistical nonsense. You may enjoystatistics for the first time!" --Gilbert S. Omenn, Professor of Medicine, Genetics, Public Health, and Computational Medicine and Bioinformatics, University of Michigan, "The second edition of Intuitive Biostatistics is a substantial improvement. I am particularly impressed by the chapters on multiple comparisons. This is increasingly important for such molecular trickery as gene expression chips, which produce a very large number of possible comparisons. Individual comparisons and even a Bonferroni correction are often inadequate. Motulsky deals with a newer method, false discovery rate (FDR), in a clear, understandable way. I'll be recommending the new edition with even greater enthusiasm."--James F. Crow, University of Wisconsin"This splendid book meets a major need in public health, medicine, and biomedical research training--a user-friendly biostatistics text for non-mathematicians that clearly explains how to make sense of statistical results and how to avoid being confused by statistical nonsense. You may enjoy statistics for the first time!"--Gilbert S. Omenn, Professor of Medicine, Genetics, Public Health, and Computational Medicine & Bioinformatics, University of Michigan"I wish everyone involved in medical and pharmaceutical research would read Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. There is very little about cookbook techniques in this book; instead it concentrates on the underlying assumptions, and just why some inferences are valid and some are not. It's not easy going, but statistical inference isn't an easy subject. Alas, now that computers have made it easy to do the cookbook work to compile all kinds of statistical numbers, many think that the subject is easy, and computers can do all the work. Intuitive Biostatistics will disabuse them of that error. The book uses many examples from pharmacology research. Recommended." --Jerry Pournelle, Chaos Manor Reviews, "The second edition of Intuitive Biostatistics is a substantial improvement. I am particularly impressed by the chapters on multiple comparisons. This is increasingly important for such molecular trickery as gene expression chips, which produce a very large number of possible comparisons. Individual comparisons and even a Bonferroni correction are often inadequate. Motulsky deals with a newer method, false discovery rate (FDR), in a clear, understandable way. I'll be recommending the new edition with even greater enthusiasm."--James F. Crow, University of Wisconsin "This splendid book meets a major need in public health, medicine, and biomedical research training--a user-friendly biostatistics text for non-mathematicians that clearly explains how to make sense of statistical results and how to avoid being confused by statistical nonsense. You may enjoy statistics for the first time!"--Gilbert S. Omenn, Professor of Medicine, Genetics, Public Health, and Computational Medicine & Bioinformatics, University of Michigan "I wish everyone involved in medical and pharmaceutical research would read Intuitive Biostatistics: A Nonmathematical Guide to Statistical Thinking. There is very little about cookbook techniques in this book; instead it concentrates on the underlying assumptions, and just why some inferences are valid and some are not. It's not easy going, but statistical inference isn't an easy subject. Alas, now that computers have made it easy to do the cookbook work to compile all kinds of statistical numbers, many think that the subject is easy, and computers can do all the work. Intuitive Biostatistics will disabuse them of that error. The book uses many examples from pharmacology research. Recommended." --Jerry Pournelle, Chaos Manor Reviews, "The second edition of Intuitive Biostatistics is a substantial improvement. I am particularly impressed by the chapters on multiple comparisons. This is increasingly important for such molecular trickery as gene expression chips, which produce a very large number of possible comparisons. Individual comparisons and even a Bonferroni correction are often inadequate. Motulsky deals with a newer method, false discovery rate (FDR), in a clear, understandable way. I'll be recommending the new edition with even greater enthusiasm."--James F. Crow, University of Wisconsin "This splendid book meets a major need in public health, medicine, and biomedical research training--a user-friendly biostatistics text for non-mathematicians that clearly explains how to make sense of statistical results and how to avoid being confused by statistical nonsense. You may enjoy statistics for the first time!"--Gilbert S. Omenn, Professor of Medicine, Genetics, Public Health, and Computational Medicine & Bioinformatics, University of MichiganDewey Edition22CLASSIFICATION_METADATA{"IsNonfiction":["No"],"IsOther":["No"],"IsAdult":["No"],"MuzeFormatDesc":["Trade Paperback"],"IsChildren":["No"],"Genre":["MEDICAL","SCIENCE"],"Topic":["Life Sciences / Biology","Research","Biostatistics"],"IsTextBook":["Yes"],"IsFiction":["No"]}Number of Volumes1 vol.IllustratedYesDewey Decimal610.72/1Table Of ContentPrefacePart A. Introducing Statistics1. Statistics and Probability are not Intuitive2. Why Statistics Can Be Hard to Learn3. From Sample to PopulationPart B. Confidence Intervals4. Confidence Interval of a Proportion5. Confidence Interval of Survival Data6. Confidence Interval of Counted DataPart C. Continuous Variables7. Graphing Continuous Data8. Types of Variables9. Quantifying Scatter10. The Gaussian Distribution11. The Lognormal Distribution and Geometric Mean12. Confidence Interval of a Mean13. The Theory of Confidence Intervals14. Error BarsPart D. P Values and Significance15. Introducing P Values16. Statistical Significance and Hypothesis Testing17. Relationship Between Confidence Intervals and Statistical Significance18. Interpreting a Result that is Statistically Significant19. Interpreting a Result That is Not Statistically Significant20. Statistical Power21. Testing For Equivalence or NoninferiorityPart E. Challenges in Statistics22. Multiple Comparisons Concepts23. Multiple Comparison Traps24. Gaussian or Not?25. OutliersPart F. Statistical Tests26. Comparing Observed and Expected Distributions27. Comparing Proportions: Prospective And Experimental Studies28. Comparing Proportions: Case-Control Studies29. Comparing Survival Curves30. Comparing Two Means: Unpaired t test31. Comparing Two Paired Groups32. CorrelationPart G. Fitting Models to Data33. Simple Linear Regression34. Fitting Models to Data35. Comparing Models36. Nonlinear Regression37. Multiple, Logistic and Proportional Hazards Regression38. Multiple Regression TrapsPart H. The Rest of Statistics39. Analysis of Variance40. Multiple Comparison Tests After ANOVA41. Nonparametric Methods42. Sensitivity and Specificity and ROC Curves43. Sample SizePart I. Putting it All Together44. Statistical Advice45. Choosing a Statistical Test46. Capstone Example47. Review Problems48. Answers to Review ProblemsAppendices:A. Statistics with GraphPadB. Statistics With ExcelC. Statistics with RD. Values of the t Distribution Needed to Compute Confidence IntervalsE. A Review of LogarithmsReferencesSynopsisThoroughly 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, provide a clear introduction to statistics for undergraduate and graduate students and also serves as a statistics refresher for working scientists., 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., 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 andalso 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 multi-part problems, with answers fully discussed in Chapter 48. * New "Q and A" sections throughout the book review key concepts., Thoroughly revised and updated, the second edition of Intuitive Biostatics 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.LC Classification NumberR853.S7M68 2010Copyright Date2010ebay_catalog_id4

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