kent.df | R Documentation |
In this data set are the results of 93 human cadaver crash tests. The tests were used in the development of thoracic injury risk functions with consideration of age and restraint condition. The data can be used with logistic regression models by recoding the variable fracture into <6 and >=6, or with a Poisson/quasi-Poisson/negative binomial GLM.
data(kent.df)
A data frame with ... variables
Kent. R, and Petrie, J.
Kent, R. and Petrie, J., Chest deflection tolerance to blunt anterior loading is sensitive to age but not load distribution , Forensic Science International 149(2004):2-3 p.121-128.
data(kent.df) ##recode the response fracture to minor injury (<6 rib fractures) and ##severe injury (>=6 rib fractures) ##kent.df = within(kent.df, { ## injury = factor(ifelse(fractures<6,'minor','severe'), ## levels = c('severe','minor'))}) ## fit a binomial GLM ## kent.fit = glm(injury~cmax*
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