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Principles of Biostatistics, Second Edition 

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Comment from the Stata technical groupThe second edition of Principles of Biostatistics by Marcello Pagano and Kimberlee Gauvreau has developed into a wonderful tool for the modern classroom. The Review Exercises sections in each of the 22 chapters have at least doubled in size since the first edition, making it easier for instructors to give examples in lectures and assign problems, and giving students more opportunities to apply what they have learned in the chapters. Among the many improvements, the probability chapter has been expanded to include visual representations of probability concepts with Venn diagrams, and the graphical concepts described in the Data Presentation chapter have been carried through to all chapters in the text. 

Table of contentsView table of contents >> 1. Introduction
1.1 Overview of the Text
1.2 Review Exercises Bibliography 2. Data Presentation
2.1 Types of Numerical Data
2.1.1 Nominal Data
2.2 Tables
2.1.2 Ordinal Data 2.1.3 Ranked Data 2.1.4 Discrete Data 2.1.5 Continuous Data
2.2.1 Frequency Distributions
2.3 Graphs
2.2.2 Relative Frequency
2.3.1 Bar Charts
2.4 Further Applications2.3.2 Histograms 2.3.3 Frequency Polygons 2.3.4 OneWay Scatter Plots 2.3.5 Box Plots 2.3.6 TwoWay Scatter Plots 2.3.7 Line Graphs 2.5 Review Exercises Bibliography 3. Numerical Summary Measures
3.1 Measures of Central Tendency
3.1.1 Mean
3.2 Measures of Dispersion
3.1.2 Median 3.1.3 Mode
3.2.1 Range
3.3 Grouped Data
3.2.2 Interquartile Range 3.2.3 Variance and Standard Deviation 3.2.4 Coefficient of Variation
3.3.1 Grouped Mean
3.4 Chebychev’s Inequality3.3.2 Grouped Variance 3.5 Further Applications 3.6 Review Exercises Bibliography 4. Rates and Standardization
4.1 Rates
4.2 Standardization of Rates
4.2.1 Direct Method of Standardization
4.3 Further Applications4.2.2 Indirect Method of Standardization 4.2.3 Use of Standardized Rates 4.4 Review Exercises Bibliography 5. Life Tables
5.1 Computation of the Life Table
5.1.1 Column 1
5.2 Applications of the Life Table5.1.2 Column 2 5.1.3 Columns 3 and 4 5.1.4 Column 5 5.1.5 Column 6 5.1.6 Column 7 5.3 Years of Potential Life Lost 5.4 Further Applications 5.5 Review Exercises Bibliography 6. Probability
6.1 Operations on Events and Probability
6.2 Conditional Probability 6.3 Bayes’ Theorem 6.4 Diagnostic Tests
6.4.1 Sensitivity and Specificity
6.5 The Relative Risk and the Odds Ratio6.4.2 Applications of Bayes’ Theorem 6.4.3 ROC Curves 6.4.4 Calculations of Prevalence 6.6 Further Applications 6.7 Review Exercises Bibliography 7. Theoretical Probability Distributions
7.1 Probability Distributions
7.2 The Binomial Distribution 7.3 The Poisson Distribution 7.4 The Normal Distribution 7.5 Further Applications 7.6 Review Exercises Bibliography 8. Sampling Distribution of the Mean
8.1 Sampling Distributions
8.2 The Central Limit Theorem 8.3 Applications of the Central Limit Theorem 8.4 Further Applications 8.5 Review Exercises Bibliography 9. Confidence Intervals
9.1 TwoSided Confidence Intervals
9.2 OneSided Confidence Intervals 9.3 Student’s t Distribution 9.4 Further Applications 9.5 Review Exercises Bibliography 10. Hypothesis Testing
10.1 General Concepts
10.2 TwoSided Tests of Hypotheses 10.3 OneSided Tests of Hypotheses 10.4 Types of Error 10.5 Power 10.6 Sample Size Estimation 10.7 Further Applications 10.8 Review Exercises Bibliography 11. Comparison of Two Means
11.1 Paired Samples
11.2 Independent Samples
11.2.1 Equal Variances
11.3 Further Applications11.2.2 Unequal Variances 11.4 Review Exercises Bibliography 12. Analysis of Variance
12.1 OneWay Analysis of Variance
12.1.1 The Problem
12.2 Multiple Comparisons Procedures12.1.2 Sources of Variation 12.3 Further Applications 12.4 Review Exercises Bibliography 13. Nonparametric Methods
13.1 The Sign Test
13.2 The Wilcoxon SignedRank Test 13.3 The Wilcoxon Rank Sum Test 13.4 Advantages and Disadvantages of Nonparametric Methods 13.5 Further Applications 13.6 Review Exercises Bibliography 14. Inference on Proportions
14.1 Normal Approximation to the Binomial Distribution
14.2 Sampling Distribution of a Proportion 14.3 Confidence Intervals 14.4 Hypothesis Testing 14.5 Sample Size Estimation 14.6 Comparison of Two Proportions 14.7 Further Applications 14.8 Review Exercises Bibliography 15. Contingency Tables
15.1 The ChiSquare Test
15.1.1 2 x 2 Tables
15.2 McNemar’s Test 15.1.2 r x c Tables 15.3 The Odds Ratio 15.4 Berkson’s Fallacy 15.5 Further Applications 15.6 Review Exercises Bibliography 16. Multiple 2 x 2 Tables
16.1 Simpson’s Paradox
16.2 MantelHaenszel method
16.2.1 Test of Homogeneity
16.3 Further Applications16.2.2 Summary Odds Ratio 16.2.3 Test of Association 16.4 Review Exercises Bibliography 17. Correlation
17.1 The TwoWay Scatter Plot
17.2 Pearson’s Correlation Coefficient 17.3 Spearman’s Rank Correlation Coefficient 17.4 Further Applications 17.5 Review Exercises Bibliography 18. Simple Linear Regression
18.1 Regression Concepts
18.2 The Model
18.2.1 The Population Regression Line
18.3 Evaluation of the Model
18.2.2 The Method of Least Squares 18.2.3 Inference for Regression Coefficients 18.2.4 Inference for Predicted Values
18.3.1 The Coefficient of Determination
18.4 Further Applications18.3.2 Residual Plots 18.3.3 Transformations 18.5 Review Exercises Bibliography 19. Multiple Regression
19.1 The Model
19.1.1 The Least Squares Regression Equation
19.2 Model Selection19.1.2 Inference for Regression Coefficients 19.1.3 Evaluation of the Model 19.1.4 Indicator Variables 19.1.5 Interaction Terms 19.3 Further Applications 19.4 Review Exercises Bibliography 20. Logistic Regression
20.1 The Model
20.1.1 The Logistic Function
20.2 Multiple Logistic Regression20.1.2 The Fitted Equation 20.3 Indicator Variables 20.4 Further Applications 20.5 Review Exercises Bibliography 21. Survival Analysis
21.1 The Life Table Method
21.2 The ProductLimit Method 21.3 The LogRank Test 21.4 Further Applications 21.5 Review Exercises Bibliography 22. Sampling Theory
22.1 Sampling Schemes
22.1.1 Simple Random Sampling
22.2 Sources of Bias22.1.2 Systematic Sampling 22.1.3 Stratified Sampling 22.1.4 Cluster Sampling 22.1.5 Nonprobability Sampling 22.3 Further Applications 22.4 Review Exercises Bibliography Appendix A Tables
Appendix B Data Sets
Index

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