Utility function.
The model fitted assumes a piecewise constant intensity for the baseline, and that the covariates act additively on the rate scale.
fit.add( y, rates.frame, cov.frame, start )
Binary vector of outcomes
Dataframe expanded from the original data by
expand.data
, cooresponding to covariates for the rate
parameters.
do., but covariates corresponding to the
formula
argument of Icens
Starting values for the rate parameters. If not supplied, then starting values are generated.
A list with one component:
A glm object from a binomial model with log-link function.
B Carstensen: Regression models for interval censored survival data: application to HIV infection in Danish homosexual men. Statistics in Medicine, 15(20):2177-2189, 1996.
CP Farrington: Interval censored survival data: a generalized linear modelling approach. Statistics in Medicine, 15(3):283-292, 1996.
# NOT RUN {
data( HIV.dk )
# }
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