Essential Biostatistics teaches students how to interpret statistical results by explaining the ideas behind statistics in nonmathematical terms. Rather than replacing longer, more traditional mathematical textbooks, this text is designed to supplement them.
With its engaging and conversational tone, this unique book provides a clear introduction to statistics for students in a wide range of fields, and also serves as a statistics refresher for working scientists. It is especially useful for those students in health-science related fields who have no background in biostatistics.
KEY FEATURES
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Table of Contents 1. Statistics and Probability are not Intuitive 2. The Complexities of Probability 3. From Sample to Population 4. Confidence Intervals 5. Types of Variables 6. Graphing Variability 7. Quantifying Variation 8. The Gaussian Distribution 9. The Lognormal Distribution and Geometric Mean 10. Confidence Interval for a Mean 11. Error Bars 12. Comparing Groups with Confidence Intervals 13. Comparing Groups with P Values 14. Statistical Significance and Hypothesis Testing 15. Interpreting a Result That is (Or is Not) Statistically Significant 16. How Common are Type I Errors? 17. Multiple Comparisons 18. Statistical Power and Sample Size 19. Commonly Used Statistical Tests 20. Normality Tests 21. Outliers 22. Correlation 23. Simple Linear Regression 24. Nonlinear, Multiple, and Logistic Regression 25. Common Mistakes to Avoid When Interpreting Published Statistics 26. Review
Harvey Motulsky is the founder and CEO of GraphPad Software, Inc.
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