Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.
1. Chapter 1 : Introduction to biostatistics - p. Page ix 2. Chapter 2 : Data management and SPSS environment∗ - p. Page 15 3. Chapter 3 : Statistical tests of significance∗ - p. Page 42 4. Chapter 4 : Parametric tests∗ - p. Page 62 5. Chapter 5 : Nonparametric tests∗ - p. Page 84 6. Chapter 6 : Correlation∗ - p. Page 107 7. Chapter 7 : Categorical variables∗ - p. Page 126 8. Chapter 8 : Validity∗ - p. Page 148 9. Chapter 9 : Reliability and agreement∗ - p. Page 168 10. Chapter 10 : Survival analysis∗ - p. Page 194 11. Chapter 11 : Regression and multivariable analysis∗ - p. Page 211 12. Chapter 12 : Annexures - p. Page 245 13. Index - p. Page 262
Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher’s point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research.
1. Chapter 1 : Introduction to biostatistics - p. Page ix 2. Chapter 2 : Data management and SPSS environment∗ - p. Page 15 3. Chapter 3 : Statistical tests of significance∗ - p. Page 42 4. Chapter 4 : Parametric tests∗ - p. Page 62 5. Chapter 5 : Nonparametric tests∗ - p. Page 84 6. Chapter 6 : Correlation∗ - p. Page 107 7. Chapter 7 : Categorical variables∗ - p. Page 126 8. Chapter 8 : Validity∗ - p. Page 148 9. Chapter 9 : Reliability and agreement∗ - p. Page 168 10. Chapter 10 : Survival analysis∗ - p. Page 194 11. Chapter 11 : Regression and multivariable analysis∗ - p. Page 211 12. Chapter 12 : Annexures - p. Page 245 13. Index - p. Page 262
