This is a utility function.
The original records with first.well
, last.well
and
first.ill
are
expanded to multiple records; several for each interval where the
person is known to be well and one where the person is known to fail.
At the same time columns for the covariates needed to estimate rates
and the response variable are generated.
expand.data(fu, formula, breaks, data)
Returns a list with three components
Dataframe of covariates for estimation of the
baseline rates --- one per interval defined by breaks
.
Dataframe for estimation of the covariate effects. A
data-framed version of the designmatrix from formula
.
Response vector.
A 3-column matrix with first.well
, last.well
and
first.ill
in each row.
Model fromula, used to derive the model matrix.
Defines the intervals in which the baseline rate is assumed constant. All follow-up before the first and after the last break is discarded.
Datafrem in which fu
and formula
is interpreted.
Martyn Plummer, martyn.plummer@r-project.org
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.
Icens
fit.mult
fit.add