Kidney: Kidney infection data
In inbo/INLA: Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations
Description
Usage
Format
References
Description
Times of infection from the time to insertion of the catheter for 38 kindey patients using portable dialysis equipment
Usage
1
Format
A data frame with 76 observations on the following 9 variables.
timea numeric vector. Time to infection from the insertion of catheter
eventa numeric vector. 1: time of infection 0: time of censuring
agea numeric vector. Age of the patient at the time of infection
sexa numeric vector. Sex of the patient 0: male 1:female
diseasea numeric vector. Type of disease
dis1a numeric vector. Dummy variable to codify the disease type.
dis2a numeric vector. Dummy variable to codify the disease type.
dis3a numeric vector. Dummy variable to codify the disease type.
IDa numeric vector. Patient code.
References
McGilchrist and C.W. Aisbett (1991),
Regression with frailty in survival analysis,
Biometrics,vol.47,pages 461–166.
D.J. Spiegelhalter and A. Thomas and N.G. Best and W.R. Gilks (1995)
BUGS: Bayesian Inference Using Gibbs sampling, Version 0.50.,
MRC Biostatistics Unit, Cambridre, England.
inbo/INLA documentation built on Dec. 6, 2019, 9:51 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.
Description Usage Format References
Description
Times of infection from the time to insertion of the catheter for 38 kindey patients using portable dialysis equipment
Usage
1 |
Format
A data frame with 76 observations on the following 9 variables.
timea numeric vector. Time to infection from the insertion of catheter
eventa numeric vector. 1: time of infection 0: time of censuring
agea numeric vector. Age of the patient at the time of infection
sexa numeric vector. Sex of the patient 0: male 1:female
diseasea numeric vector. Type of disease
dis1a numeric vector. Dummy variable to codify the disease type.
dis2a numeric vector. Dummy variable to codify the disease type.
dis3a numeric vector. Dummy variable to codify the disease type.
IDa numeric vector. Patient code.
References
McGilchrist and C.W. Aisbett (1991), Regression with frailty in survival analysis, Biometrics,vol.47,pages 461–166.
D.J. Spiegelhalter and A. Thomas and N.G. Best and W.R. Gilks (1995) BUGS: Bayesian Inference Using Gibbs sampling, Version 0.50., MRC Biostatistics Unit, Cambridre, England.
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.