Statistical approaches for epidemiology [electronic resource] : from concept to application / Amal K. Mitra, editor.
This textbook provides the basic concepts of epidemiology while preparing readers with the skills of applying statistical tools in real-life situations. Students, in general, struggle with statistical theories and their practical applications. This book makes statistical concepts easy to understand...
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Full Text (via Springer) |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2024.
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Table of Contents:
- Chapter 1. Descriptive and Analytical Epidemiology
- Chapter 2. Cross-Sectional Study: The Role of Observation in Epidemiological Studies
- Chapter 3. Case-Control Study
- Chapter 4. Cohort Studies
- Chapter 5. Epidemiological Measures
- Chapter 6. Clinical Trials
- Chapter 7. Screening
- Chapter 8. Surveillance: The Role of Observation in Epidemiological Studies
- Chapter 9. Standardization
- Chapter 10. Causal Association
- Chapter 11. Bias, Confounding, and Effect Modifier
- Chapter 12. Epidemic Investigation and Control
- Chapter 13. Population Projection
- Chapter 14. Geospatial Applications in Epidemiology: Location, Location, Location
- Chapter 15. Survival Analysis and Applications Using SAS and SPSS
- Chapter 16. Systematic Review and Meta-Analysis: Evidence-based Decision-Making in Public Health
- Chapter 17. Sample Size Estimation
- Chapter 18. Missing Data Imputation: A Practical Guide
- Chapter 19. Artificial Intelligence and Machine Learning
- Chapter 20. A Step-By-Step Guide to Data Analysis Using SPSS: Iron Study Data
- Chapter 21. Data Analysis Using SPSS: Jackson Heart Study
- Chapter 22. Multivariate Linear Regression and Logistics Regression Analysis Using SAS
- Chapter 23. Epidemiology of COVID-19: An Update.