Analysis of Incidence Rates
eBook - ePub

Analysis of Incidence Rates

  1. 474 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Analysis of Incidence Rates

Book details
Table of contents
Citations

About This Book

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology.

Features:



  • Compares and contrasts incidence rates with risks, odds, and hazards.



  • Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods



  • Describes Poisson regression methods for adjusted rate ratios and rate differences.



  • Examines linear regression for rate differences with an emphasis on common problems.



  • Gives methods for correcting confidence intervals.



  • Illustrates problems related to collapsibility.



  • Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations.



  • Presents matched cohort methods in detail.



  • Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa.



  • Demonstrates instrumental variable methods.



  • Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models.



  • All data and analyses are in online Stata files which readers can download.

Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

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Information

Publisher
Chapman and Hall/CRC
Year
2019
ISBN
9780429619052
Edition
1
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Preface
  8. Author
  9. 1. Do Storks Bring Babies?
  10. 2. Risks and Rates
  11. 3. Rate Ratios and Differences
  12. 4. The Poisson Distribution
  13. 5. Criticism of Incidence Rates
  14. 6. Stratified Analysis: Standardized Rates
  15. 7. Stratified Analysis: Inverse-Variance and Mantel-Haenszel Methods
  16. 8. Collapsibility and Confounding
  17. 9. Poisson Regression for Rate Ratios
  18. 10. Poisson Regression for Rate Differences
  19. 11. Linear Regression
  20. 12. Model Fit
  21. 13. Adjusting Standard Errors and Confidence Intervals
  22. 14. Storks and Babies, Revisited
  23. 15. Flexible Treatment of Continuous Variables
  24. 16. Variation in Size of an Association
  25. 17. Negative Binomial Regression
  26. 18. Clustered Data
  27. 19. Longitudinal Data
  28. 20. Matched Data
  29. 21. Marginal Methods
  30. 22. Bayesian Methods
  31. 23. Exact Poisson Regression
  32. 24. Instrumental Variables
  33. 25. Hazards
  34. Bibliography
  35. Index