A dataset from a Women's Health Initiative (WHI) hormone trial to study the interaction between biomarker and hormone therapy on stroke.
data("whiBioMarker")
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
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).
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.
# NOT RUN {
data(whiBioMarker)
str(whiBioMarker)
colnames(whiBioMarker)
# }
Run the code above in your browser using DataLab