Biostatistics : the bare essentials

New for 2014, Biostatistics: The Bare Essentials, 4th Edition, includes updated information on robust estimators of the mean, the problems of multiple hypothesis testing, bootstrapping and resampling and non-parametric stats. In addition, an entirely new chapter title Measures of Impact discusses measures of incidence and prevalence, risk, morbidity and fatality rates, and more. The Nature Of Data And Statistics: The Basics -- Looking At The Data -- Describing The Data With Numbers -- The Normal Distribution -- Probability -- Elements Of Statistical Inference -- Analysis Of Variance: Comparing Two Groups The T-test -- More Than Two Groups One Way Anova -- Factorial Anova -- Two Repeated Observations The Paired T-test And Alternatives -- Repaeted-measures Anova -- Multivariate Anova (manova) -- C.r.a.p. Detectors -- Regression And Correlation: Simple Regression And Correlation -- Multiple Regression -- Logistic And Poisson Regression -- Advanced Topis In Regression And Anova -- Measuring Change -- Analysis Of Longitudinal Data: Hierarchical Linear Modeling -- Non-parametric Statistics: Tests Of Significance For Categorical Frequency Data -- Measures Of Association For Categorical Data -- Tests Of Significance For Ranked Data -- Measures Of Association For Ranked Data -- Survival Analysis -- Measures Of Impact Introductory Side Bar -- Reprise: Equivalence And Non-inferiority Testing -- Screwups, Oddballs, And Other Vagaries Of Science -- Putting It All Together -- Gettting Started With Spss. Geoffrey R. Norman, Phd, Professor, Department Of Clinical Epidemiology And Biostatistics, Mcmaster University, Hamilton, Ontario, Canada, David L. Streiner, Phd, Professor, Department Of Psychiatry, University Of Toronto, Toronto, Ontario, Canada, Professor Emeritus, Department Of Clinical Epidemiology And Biostatistics, Professor Emeritus, Department Of Psychiatry And Behavioural Neurosciences, Mcmaster University, Hamilton, Ontario, Canada, Master Woodworker, Halton County Radial Railway Museum, Milton, Ontario, Canada. Includes Bibliographical References And Index. Cover Title Page Copyrights Contents Section the First: The Nature of Data and Statistics 1. The Basics 2. Looking at the Data 3. Describing the Data with Numbers 4. The Normal Distribution 5. Probability 6. Elements of Statistical Inference C.R.A.P Detectors Section the Second: Analysis of Variance 7. Comparing Two Groups 8. More than Two Groups 9. Factorial ANOVA 10. Two Repeated Observations 11. Repeated-Measures ANOVA 12. Multivariate ANOVA (MANOVA) C.R.A.P Detectors Section the Third: Regression and Correlation 13. Simple Regression and Correlation 14. Multiple Regression 15. Logistic and Poisson Regression 16. Advanced Topics in Regression and ANOVA 17. Measuring Change 18. Analysis of Longitudinal Data: Hierarchical Linear Modeling 19. Principal Components and Factor Analysis 20. Path Analysis and Structural Equation Modeling C.R.A.P Detectors Section the Fourth: Non-Parametric Statistics 21. Tests of Significance for Categorical Frequency Data 22. Measures of Association for Categorical Data 23. Tests of Significance for Ranked Data 24. Measures of Association for Ranked Data 25. Survival Analysis 26. Measures of Impact C.R.A.P Detectors Section the Fifth: Reprise 27. Equivalence and Non-Inferiority Testing 28. Screwups, Oddballs, and Other Vagaries of Science 29. Putting It All Together 30. Getting Started with SPSS Test Yourself: Being a Compendium of Questions and Answers Answers to Chapter Exercises References and Further Reading An Unabashed Glossary of Statistical Terms Appendix Index