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Statistical Approaches for Epidemiology

From Concept to Application

  • Textbook
  • © 2024

Overview

Editors:
  1. Amal K. Mitra

    1. Department of Epidemiology and Biostatistics, Jackson State University, Jackson, USA

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  • Provides practical examples and illustrations of the use of epidemiologic concepts
  • Shows how to conduct real-life data analysis and step-by-step solutions to problems
  • Features authors with extensive teaching and research backgrounds

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Table of contents (23 chapters)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  2. Descriptive and Analytical Epidemiology

    • Kiran Sapkota
    Pages 1-18

  3. Cross-Sectional Study: The Role of Observation in Epidemiological Studies

    • Jean H. Kim
    Pages 19-42

  4. Case–Control Study

    • Noraini Abdul Ghafar
    Pages 43-55

  5. Cohort Studies

    • Deepa Valvi, Steven Browning
    Pages 57-75

  6. Epidemiological Measures

    • Praphul Joshi
    Pages 77-90

  7. Clinical Trials

    • Michael Bennish, Wasif Ali Khan
    Pages 91-113

  8. Screening

    • Amal K. Mitra
    Pages 115-128

  9. Surveillance: The Role of Observation in Epidemiological Studies

    • Adetoun F. Asala
    Pages 129-145

  10. Standardization

    • Anwar T. Merchant
    Pages 147-154

  11. Causal Association

    • Amal K. Mitra
    Pages 155-167

  12. Bias, Confounding, and Effect Modifier

    • Dipak Kumar Mitra, Abdullah H. Baqui
    Pages 169-182

  13. Epidemic Investigation and Control

    • Rajat Das Gupta, Sanjoy Kumar Sadhukhan
    Pages 183-201

  14. Population Projection

    • Mohammad Mainul Islam, Amal K. Mitra
    Pages 203-216

  15. Geospatial Applications in Epidemiology: Location, Location, Location

    • Stephen Scroggins
    Pages 217-234

  16. Survival Analysis and Applications Using SAS and SPSS

    • Rafiqul Chowdhury, Shahariar Huda
    Pages 235-255

  17. Systematic Review and Meta-Analysis: Evidence-Based Decision-Making in Public Health

    • Aliyar Cyrus Fouladkhah, Minoo Bagheri
    Pages 257-273

  18. Sample Size Estimation

    • Amal K. Mitra
    Pages 275-292

  19. Missing Data Imputation: A Practical Guide

    • Enayetur Raheem
    Pages 293-316

  20. Artificial Intelligence and Machine Learning

    • Hamidreza Moradi
    Pages 317-342
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Keywords

About this book

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. 

Editors and Affiliations

  • Department of Epidemiology and Biostatistics, Jackson State University, Jackson, USA

    Amal K. Mitra

About the editor

Amal K. Mitra, MD, MPH, DIH, DrPH, is an internationally recognized scientist and leader in the field of public health.  He has a dual background in medicine and in public health.  He was a pioneer in developing a Master degree program in Epidemiology and Biostatistics at The University of Southern Mississippi in 1998.  He was the Founding Program Director of Public Health in the Faculty of Medicine at Kuwait University.  Currently, Dr. Mitra is a tenured Professor of Epidemiology and Biostatistics at Jackson State University (JSU) in Jackson, Mississippi.  He has been serving as the Director of Global Health Program Initiatives at JSU School of Public Health.  He is collaborating with several institutions in Bangladesh, Hong Kong, India, Kuwait, Nepal and Malaysia.  Dr. Mitra is the recipient of many awards including the Fulbright-Nehru Academic and Professional Excellence Award 2022-2023, Lifetime Achievement Award 2013, the Fulbright Scholar Award 2007-2008, the Innovation Award for Applied Research 2004, the Distinguished Teaching Award 2000, and the Distinguished Faculty Researcher Award 1999. He is the author of Epidemiology for Dummies published by Wiley & Sons in 2023.

Bibliographic Information

  • Book Title: Statistical Approaches for Epidemiology

  • Book Subtitle: From Concept to Application

  • Editors: Amal K. Mitra

  • DOI: https://doi.org/10.1007/978-3-031-41784-9

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Hardcover ISBN: 978-3-031-41783-2Published: 13 December 2023

  • Softcover ISBN: 978-3-031-41786-3Due: 29 April 2024

  • eBook ISBN: 978-3-031-41784-9Published: 12 December 2023

  • Edition Number: 1

  • Number of Pages: XXIX, 429

  • Topics: Epidemiology, Statistics, general, Public Health, Applied Statistics

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