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Preface | |
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Acknowledgments | |
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About the Author | |
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General Concept and Techniques | |
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Measurement | |
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What Is Biostatistics? | |
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Organization of Data | |
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Types of Measurements | |
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Data Quality | |
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Types of Studies | |
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Surveys | |
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Comparative Studies | |
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Frequency Distributions | |
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Stemplots | |
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Frequency Tables | |
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Additional Frequency Charts | |
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Summary Statistics | |
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Central Location: Mean | |
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Central Location: Median | |
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Central Location: Mode | |
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Comparison of the Mean, Median, and Mode | |
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Spread: Quartiles | |
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Boxplots | |
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Spread: Variance and Standard Deviation | |
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Selecting Summary Statistics | |
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Probability Concepts | |
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What Is Probability? | |
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Types of Random Variables | |
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Discrete Random Variables | |
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Continuous Random Variables | |
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More Rules and Properties of Probability | |
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Binomial Probability Distributions | |
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Binomial Random Variables | |
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Calculating Binomial Probabilities | |
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Cumulative Probabilities | |
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Probability Calculators | |
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Expected Value and Variance of a Binomial Random Variable | |
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Using the Binomial Distribution to Help Make Judgments | |
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Normal Probability Distributions | |
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Normal Distributions | |
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Determining Normal Probabilities | |
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Finding Values That Correspond to Normal Probabilities | |
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Assessing Departures from Normality | |
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Introduction to Statistical Inference | |
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Concepts | |
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Sampling Behavior of a Mean | |
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Sampling Behavior of a Count and Proportion | |
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Basics of Hypothesis Testing | |
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The Null and Alternative Hypotheses | |
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Test Statistic | |
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P-Value | |
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Significance Level | |
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One-Sample z Test | |
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Power and Sample Size | |
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Basics of Confidence Intervals | |
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Introduction to Estimation | |
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Confidence Interval for [mu] When [sigma] Known | |
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Sample Size Requirements | |
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Relationship Between Hypothesis Testing and Confidence Intervals | |
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Quantitative Response Variable | |
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Inference About a Mean | |
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Estimated Standard Error of the Mean | |
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Student's t Distributions | |
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One-Sample t Test | |
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Confidence Interval for [mu] | |
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Paired Samples | |
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Conditions for Inference | |
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Sample Size and Power | |
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Comparing Independent Means | |
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Paired and Independent Samples | |
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Exploratory and Descriptive Statistics | |
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Inference About the Mean Difference | |
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Equal Variance t Procedure (Optional) | |
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Conditions for Inference | |
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Sample Size and Power | |
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Comparing Several Means (One-Way ANOVA) | |
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Descriptive Statistics | |
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The Problem of Multiple Comparisons | |
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Analysis of Variance (ANOVA) | |
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Post Hoc Comparisons | |
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The Equal Variance Assumption | |
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Introduction to Non-Parametric Tests | |
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Correlation and Regression | |
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Data | |
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Scatterplots | |
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Correlation | |
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Regression | |
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Multiple Linear Regression | |
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The General Idea | |
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The Multiple Linear Regression Model | |
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Categorical Explanatory Variables in Regression Models | |
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Regression Coefficients | |
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ANOVA for Multiple Linear Regression | |
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Examining Multiple Regression Conditions | |
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Categorical Response Variable | |
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Inference About a Proportion | |
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Proportions | |
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The Sampling Distribution of a Proportion | |
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Hypothesis Test, Normal Approximation | |
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Hypothesis Test, Exact Binomial Method | |
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Confidence Interval for a Population Proportion | |
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Sample Size and Power | |
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Comparing Two Proportions | |
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Data | |
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Proportion Difference (Risk Difference) | |
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Hypothesis Test | |
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Proportion Ratio (Relative Risk) | |
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Systematic Sources of Error | |
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Power and Sample Size | |
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Cross-Tabulated Counts | |
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Types of Samples | |
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Describing Naturalistic and Cohort Samples | |
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Chi-Square Test of Association | |
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Test for Trend | |
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Case-Control Samples | |
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Matched Pairs | |
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Stratified 2-by-2 Tables | |
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Preventing Confounding | |
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Simpson's Paradox | |
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Mantel-Haenszel Methods | |
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Interaction | |
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Table of 2000 Random Digits | |
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z Table. Cummulative Probabilities for a Standard Normal Random Variable | |
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t Table | |
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F Table | |
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X[superscript 2] Table | |
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Two-Tails of z | |
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Answers to Odd Numbered Exercises | |
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Index | |