calgb.pred: Cancer and Leukemia Group B (CALGB) Data for Prediction

In DPpackage: Bayesian Nonparametric Modeling in R

Description

Same as 'calgb' for future patients (for prediction).

Usage

data(calgb.pred)

Format

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.

Examples

data(calgb.pred)
## maybe str(calgb.pred) ; plot(calgb.pred) ...

DPpackage documentation built on May 1, 2019, 10:23 p.m.