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Fundamentals of Biostatistics
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Table of Contents

1. General Overview. 2. Descriptive Statistics. 3. Probability. 4. Discrete Probability Distributions. 5. Continuous Probability Distributions. 6. Estimation. 7. Hypothesis Testing: One-Sample Inference. 8. Hypothesis Testing: Two-Sample Inference. 9. Nonparametric Methods. 10. Hypothesis Testing: Categorical Data. 11. Regression and Correlation Methods. 12. Multisample Inference. 13. Design and Analysis Techniques for Epidemiologic Studies. 14. Hypothesis Testing: Person-Time Data.

About the Author

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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1. General Overview. 2. Descriptive Statistics. 3. Probability. 4. Discrete Probability Distributions. 5. Continuous Probability Distributions. 6. Estimation. 7. Hypothesis Testing: One-Sample Inference. 8. Hypothesis Testing: Two-Sample Inference. 9. Nonparametric Methods. 10. Hypothesis Testing: Categorical Data. 11. Regression and Correlation Methods. 12. Multisample Inference. 13. Design and Analysis Techniques for Epidemiologic Studies. 14. Hypothesis Testing: Person-Time Data.

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