Description
Book SynopsisChapter 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 .
