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Statistical Approaches for Epidemiology From Concept to Application
Title
Statistical Approaches for Epidemiology [electronic resource] : From Concept to Application / edited by Amal K. Mitra.
ISBN
9783031417849
Edition
1st ed. 2024.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2024.
Physical Description
1 online resource (XXIX, 429 p.)
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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 by focusing on real-life examples, case studies, and exercises. It also provides step-by-step guides for data analysis and interpretation using standard statistical software such as SPSS, SAS, R, Python, and GIS as appropriate, illustrating the concepts. Through the book's 23 chapters, readers primarily learn how to apply statistical methods in epidemiological studies and problem-solving. Among the topics covered: Clinical Trials Epidemic Investigation and Control Geospatial Applications in Epidemiology Survival Analysis and Applications Using SAS and SPSS Systematic Review and Meta-Analysis: Evidence-based Decision-Making in Public Health Missing Data Imputation: A Practical Guide Artificial Intelligence and Machine Learning Multivariate Linear Regression and Logistics Regression Analysis Using SAS Each chapter is written by eminent scientists and experts worldwide, including contributors from institutions in the United States, Canada, Bangladesh, India, Hong Kong, Malaysia, and the Middle East. Statistical Approaches for Epidemiology: From Concept to Application is an all-in-one book that serves as an essential text for graduate students, faculty, instructors, and researchers in public health and other branches of health sciences, as well as a useful resource for health researchers in industry, public health and health department professionals, health practitioners, and health research organizations and non-governmental organizations. The book also will be helpful for graduate students and faculty in related disciplines such as data science, nursing, social work, environmental health, occupational health, computer science, statistics, and biology. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 17, 2024
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 .
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