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Intuitive Biostatistics : A Nonmathematical Guide to Statistical Thinking

ISBN: 9780199730063 | 0199730067
Edition: 2nd
Format: Paperback
Publisher: Oxford University Press, USA
Pub. Date: 1/20/2010

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SummaryTable of ContentsAuthor Biography
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: * Chap... MORE
... MORE
Preface
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 Comparison Traps
Gaussian or Not?
Outliers
Statistical Tests
Comparing Observed and Expected Distributions
Comparing Proportions: Prospective and Experimental Studies
Comparing Proportions: Case-Control Studies
Comparing Survival Curves
Comparing Two Means: Unpaired t test
Comparing Two Paired Groups
Correlation
Fitting Models To Data
Simple Linear Regression
Models
Comparing Models
Nonlinear Regression
Multiple, Logistic, and Proportional Hazards Regression
Multiple Regression Traps
The Rest Of Statistics
Analysis of Variance
Multiple Comparison Tests After ANOVA
Nonparametric Methods
Sensitivity Specificity and Receiver-Operator Characteristic Curves
Sample Size
Putting It All Together
Statistical Advice
Choosing a Statistical Test
Capstone Example
Review Problems
Answers to Review Problems
AppendiceS
Statistics with GraphPad
Statistics With Excel
Statistics R
Values of the t Distribution Needed to Compute CIs
A Review of Logarithms
References
Table of Contents provided by Publisher. All Rights Reserved.

Previously held faculty position in the Department of Pharmacology at the University of California San Diego. Currently, founder of GraphPad Software, Inc.

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