BCR: Berry, Carroll and Ruppert (2002) data

In HRW: Datasets, Functions and Scripts for Semiparametric Regression Supporting Harezlak, Ruppert & Wand (2018)

Description

The BCR data frame has data from a 6-week clinical trial of a drug versus a placebo. The data are subject to measurement error and have been transformed and rescaled from their original form. These data are analyzed in the 2002 ‘Journal of the American Statistical Association’ article by Berry, Carroll and Ruppert (full reference below).

Usage

data(BCR)

Format

This data frame contains the following columns:

status

code for status of patient:
control = patient is in placebo group,
treatment=patient is in treatment group.

w

physician-assessed score of patient's mental health at baseline.

y

physician-assessed score of patient's mental health at end of the study.

References

Berry, S.M., Carroll, R.J. and Ruppert, D. (2002). Bayesian smoothing and regression splines for measurement error problems.Journal of the American Statistical Association, 97, 160-169.

Examples

library(HRW) ; data(BCR)
if (require("lattice")) 
   print(xyplot(y ~ w|status,data = BCR))

HRW documentation built on Nov. 23, 2021, 9:07 a.m.