Analysis of Incidence Rates

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A01=Peter Cummings
Author_Peter Cummings
Case Fatality Proportion
Category=PBT
Cross-sectional Panel Data
Crude Rate Ratio
epidemiology
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Estimate Rate Ratios
Fractional Polynomial Model
Fractional Polynomials
Generalized Linear Models
Incidence Proportion
Incidence Rate
incidence rates analysis
inverse-variance weighting
Ln Likelihood
LR Chi2
Mantel-Haenszel methods
Negative Binomial Model
negative binomial regression
outcome measues
Poisson Model
Poisson Process
Poisson Regression
Pseudo R2
Quadratic Splines
Rate Differences
Rate Ratio
Regression Model
Risk Ratios
Robust Variance Estimator
Root MSE
SRR.
standardization
Stata software

Product details

  • ISBN 9780367730666
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 18 Dec 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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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