This book is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. Thoroughly revised, this third edition includes a new chapter introducing the basic principles of Study Design.
This book is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. Thoroughly revised, this third edition includes a new chapter introducing the basic principles of Study Design.
Marcello Pagano is Professor of Statistical Computing in the Department of Biostatistics at the Harvard School of Public Health. His research in biostatistics is on computer intensive inference and surveillance methods that involve screening methodologies, with their associated laboratory tests, and in obtaining more accurate testing results that use existing technologies. Kimberlee Gauvreau is Associate Professor in the Department of Biostatistics and Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau's research focuses on biostatistical issues arising in the field of pediatric cardiology. She also works on the development and validation of methods of adjustment for case mix complexity. Heather Mattie is Lecturer on Biostatistics and the Co-Director Health Data Science Program at the Harvard School of Public Health.
Inhaltsangabe
1. Introduction Part I Variability 2. Descriptive Statistics 3. Rates and Standardization 4. Life Tables Part II Probability 5. Probability 6. Screening and Diagnostic Tests 7. Theoretical Probability Distributions 8. Sampling Distribution of the Mean Part III Inference 9. Confidence Intervals 10. Hypothesis Testing 11. Comparison of Two Means 12. Analysis of Variance 13. Nonparametric Methods 14. Inference on Proportions 15. Contingency Tables 16. Correlation 17. Simple Linear Regression 18. Multiple Linear Regression 19. Logistic Regression 20. Survival Analysis 21. Sampling Theory 22. Study Design Bibliography Glossary Statistical Tables Index
1. Introduction Part I Variability 2. Descriptive Statistics 3. Rates and Standardization 4. Life Tables Part II Probability 5. Probability 6. Screening and Diagnostic Tests 7. Theoretical Probability Distributions 8. Sampling Distribution of the Mean Part III Inference 9. Confidence Intervals 10. Hypothesis Testing 11. Comparison of Two Means 12. Analysis of Variance 13. Nonparametric Methods 14. Inference on Proportions 15. Contingency Tables 16. Correlation 17. Simple Linear Regression 18. Multiple Linear Regression 19. Logistic Regression 20. Survival Analysis 21. Sampling Theory 22. Study Design Bibliography Glossary Statistical Tables Index
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