geefirth_data: Random longitudinal binary data
In mhmondol/geefirthm: Fitting Firth-type GEE for correlated binary data with separation or near-to-separation
Description
. It has two data sets. One is "quasi_sep" (having quasi-complete separation problem)
and another "near_to_sep" (having near to separation problem). Each data contains one binary and one
time (continuous) covariate.It is generated from true exchangeable correlation with icc 0.5, prevelence
of event in binary covariate 0.3 and log odds ratio -2.5, 1.6 and 0.2
for intercept, x and obstime respectively.
Usage
1
Format
data frame
mhmondol/geefirthm documentation built on May 20, 2019, 7:25 a.m.
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Description
. It has two data sets. One is "quasi_sep" (having quasi-complete separation problem) and another "near_to_sep" (having near to separation problem). Each data contains one binary and one time (continuous) covariate.It is generated from true exchangeable correlation with icc 0.5, prevelence of event in binary covariate 0.3 and log odds ratio -2.5, 1.6 and 0.2 for intercept, x and obstime respectively.
Usage
1 |
Format
data frame
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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