Same as 'calgb' for future patients (for prediction).
data(calgb.pred)
A data frame with 8 observations on the following 10 variables.
Z1
a numeric vector giving the estimated Z1 coefficients of the logistic regression curve.
Z2
a numeric vector giving the estimated Z2 coefficients of the logistic regression curve.
Z3
a numeric vector giving the estimated Z3 coefficients of the logistic regression curve.
T1
a numeric vector giving the estimated time point where the horizontal line of the curve is defined, i.e., the curve consists of a horizontal line up to t=T1ji.
T2
a numeric vector giving the estimated time point where the logistic component of the curve is defined, i.e., the curve consist of a logistic regression curve starting at t=T2ji.
B0
a numeric vector giving the estimated B0 coefficients of the logistic regression curve.
B1
a numeric vector giving the estimated B1 coefficients of the logistic regression curve.
CTX
a numeric vector giving the dose level of cyclophosphamide.
GM
a numeric vector giving the dose level GM-CSF.
AMOF
a numeric vector giving the dose level of amifostine.
# NOT RUN {
data(calgb.pred)
## maybe str(calgb.pred) ; plot(calgb.pred) ...
# }
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