dataNCC: Simulated data for recurrent events and a terminal event with...
In frailtypack: Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
dataNCC R Documentation
Simulated data for recurrent events and a terminal event with weigths using
nested case-control design
Description
This contains a simulated sample of of 819 subjects and 1510 observations.
This dataset can be used to illustrate how to fit a joint frailty model for
data from nested case-control studies.
Usage
data(dataNCC)
Format
This data frame contains the following columns:
- id
identification of patient
- cov1
dichotomous covariate
(0,1)
- cov2
dichotomous covariate (0,1)
- t.start
start of
interval
- t.stop
end of interval (death or censoring time)
- gaptime
time to event
- event
recurrent event status (0:no,
1:yes)
- deathdays
time of terminal event (death or right-censoring)
- death
censoring status (0:alive, 1:death)
- ncc.wts
weights for
NCC design
frailtypack documentation built on Oct. 20, 2024, 1:08 a.m.
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| dataNCC | R Documentation |
Simulated data for recurrent events and a terminal event with weigths using nested case-control design
Description
This contains a simulated sample of of 819 subjects and 1510 observations. This dataset can be used to illustrate how to fit a joint frailty model for data from nested case-control studies.
Usage
data(dataNCC)
Format
This data frame contains the following columns:
- id
identification of patient
- cov1
dichotomous covariate (0,1)
- cov2
dichotomous covariate (0,1)
- t.start
start of interval
- t.stop
end of interval (death or censoring time)
- gaptime
time to event
- event
recurrent event status (0:no, 1:yes)
- deathdays
time of terminal event (death or right-censoring)
- death
censoring status (0:alive, 1:death)
- ncc.wts
weights for NCC design
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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