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- 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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- Verlag: Taylor & Francis Ltd.
- Seitenzahl: 492
- Erscheinungstermin: 16.04.2019
- ISBN-13: 9780429619052
- Artikelnr.: 56393476