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TwoPhaseInd (version 1.1.2)

whiBioMarker: An example dataset to demostrate the usage of MELE and SPMLE

Description

A dataset from a Women's Health Initiative (WHI) hormone trial to study the interaction between biomarker and hormone therapy on stroke.

Usage

data("whiBioMarker")

Arguments

Format

A data frame consisting of 10 observations, with the following columns:

stroke

a binary indicator vector of stroke; 1=has stroke

hrtdisp

a binary indicator vector of treatment in the Estrogen Plus Progestin Trial; 1="Estrogen Plus Progestin", 0="placebo"

papbl

a numeric vector of Biomarker PAP (plasmin-antiplasmin complex) in logarithmic scale (base 10)

age

an integer vector of age

dias

A binary indicator vector of Diastolic BP; 1="Yes"

hyp

a vector of hypertension with levels Missing, No, Yes

syst

an integer vector of Systolic BP

diabtrt

A vector of Diabetes with levels: Missing, No, Yes

lmsepi

A vector of episodes per week of moderate and strenuous recreational physical activity of >= 20 minutes duration with levels 2 - <4 episodes per week, 4+ episodes per week, Missing, No activity, Some activity

phase

a numeric vector of phase; 1: phase 1, 2:phase 2

Details

It is an two-phase sampling example dataset adapted from Kooperberg et al. (2007) to demostrate the usage of MELE and SPMLE algorithms in Dai et al. (2009).

References

J. Y. Dai, M. LeBlanc, and C. Kooperberg. Semiparametric estimation exploiting co-variate independence in two-phase randomized trials. Biometrics, 65(1):178-187, 2009.

Examples

Run this code
# NOT RUN {
data(whiBioMarker)
str(whiBioMarker)
colnames(whiBioMarker)
# }

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