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Cummings P. Analysis Of Incidence Rates

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Cummings P. Analysis Of Incidence Rates
New York: Chapman & Hall/CRC, 2019. — 493 p.
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.
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