HeartFailure: Patients with heart failure at risk of recurrent...
In survPen: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
HeartFailure R Documentation
Patients with heart failure at risk of recurrent hospitalization events
Description
A simulated dataset containing 3 068 observations (2 268 events) in 800 patients with heart failure.
The dataset is based on hfaction_cpx12 dataset from package WA. The variables are as follows:
id. patient identifcation number
treatment. treatment=0 for control and treatment=1 for exercise training
t0. beginning of follow-up for a given event
t1. end of follow-up for a given event (up to 3.27 years)
enum. event identification number for a given patient (between 1 and 6 events per patient)
event. event indicator (1 for hospitalization, 0 for censored)
Usage
data(HeartFailure)
Format
A data frame with 3 068 rows and 6 variables
survPen documentation built on April 4, 2025, 3:06 a.m.
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.
| HeartFailure | R Documentation |
Patients with heart failure at risk of recurrent hospitalization events
Description
A simulated dataset containing 3 068 observations (2 268 events) in 800 patients with heart failure. The dataset is based on hfaction_cpx12 dataset from package WA. The variables are as follows:
id. patient identifcation number
treatment. treatment=0 for control and treatment=1 for exercise training
t0. beginning of follow-up for a given event
t1. end of follow-up for a given event (up to 3.27 years)
enum. event identification number for a given patient (between 1 and 6 events per patient)
event. event indicator (1 for hospitalization, 0 for censored)
Usage
data(HeartFailure)
Format
A data frame with 3 068 rows and 6 variables
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.