INTRODUCTION -- Overview -- Review Exercises -- DATA PRESENTATION -- Types of Numerical Data -- Tables --

Graphs -- Further Applications -- NUMERICAL SUMMARY MEASURES -- Measures of Central Tendency -- Measures of

Dispersion -- Grouped Data -- Chebychev's Inequality -- RATES AND STANDARDIZATION -- Rates -- Standardization

of Rates -- Further Applications -- LIFE TABLES -- Computation of the Life Table -- Applications of the Life

Table -- Years of Potential Life Lost -- PROBABILITY -- Operations on Events and Probability -- Conditional

Probability -- Bayes' Theorem -- Diagnostic Tests -- The Relative Risk and the Odds Ratio -- THEORETICAL

PROBABILITY DISTRIBUTIONS -- Probability Distributions -- The Binomial Distribution -- The Poisson

Distribution -- The Normal Distribution -- SAMPLING DISTRIBUTION OF THE MEAN -- Sampling Distributions -- The

Central Limit Theorem -- Applications on the Central Limit Theorem -- CONFIDENCE INTERVALS -- Two-Sided

Confidence Intervals -- One-Sided Confidence Intervals -- Student's t Distribution -- HYPOTHESIS TESTING --

General Concepts -- Two-Sided Tests of Hypotheses -- One-Sided Tests of Hypotheses -- Types of Error -- Power

-- sample size estimation -- Comparison of Two means -- Paired Samples -- Independent Samples -- analysis of

VARIANCE -- One-Way Analysis of Variance - Multiple Comparisons Procedures -- NONPARAMETRIC METHODS -- The

Sign Test -- The Wilcoxon Signed-Rank Test -- The Wilcoxon Rank Sum Test -- Advantages and Disadvantages of

Nonparametric Methods -- INFERENCE ON PROPORTIONS -- Normal Approximation to the Binomial Distribution --

Sampling Distribution of a Proportion -- Confidence Intervals -- Hypothesis Testing -- Sample Size Estimation

-- Comparison of Two Proportions -- CONTINGENCY TABLES -- The Chi-Square Test -- McNemar's Test -- The Odds

Ratio -- Berkson's Fallacy -- MULTIPLE 2 × 2 TABLES -- Simpson's Paradox -- The Mantel-Haenszel Method --

CORRELATION -- The Two-Way Scatter Plot -- Pearson's Correlation Coefficient -- Spearman's Rank Correlation

Coefficient -- SIMPLE LINEAR REGRESSION -- Regression Concepts -- The Model -- Evaluation of the Model --

MULTIPLE REGRESSION -- The Model -- Model Selection -- LOGISTIC REGRESSION -- The Model -- Multiple Logistic

Regression -- Indicator Variables -- SURVIVAL ANALYSIS -- Life Table Method -- Product-Limit Method -- The

Log-Rank Test -- SAMPLING THEORY -- Sampling Schemes -- Sources of Bias -- APPENDIXES -- A: TABLES -- B: DATA

SETS -- INDEX

Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based

introduction to statistical procedures that prepares public health, medical, and life sciences students to

conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on

concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting

examples with real data to bring the material to life.