Offers an overview of methods most often used in medical research, with specific reference to actual medical literature and actual medical research. The approach minimizes mathematical formulation, yet provides explanations of important concepts.CONTENTS1. General Overview2. Descriptive Statistics3. Probability4. Discrete Probability Distributions5. Continuous Probability Distributions6. Estimation7. Hypothesis One-Sample Inference8. Hypothesis Two-Sample Inference9. Nonparametric Methods10. Hypothesis Categorical Data11. Regression and Correlation Methods12. Analysis of Variance
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Bernard Rosner is Professor in the Department of Medicine, Harvard Medical School, and the Department of Biostatistics at the Harvard School of Public Health. Dr. Rosner's research activities currently include longitudinal data analysis, analysis of clustered continuous, binary and ordinal data, methods for the adjustment of regression models for measurement error, and modeling of cancer incidence data.
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