bacteriuria: Treatment of Bacteriuria
In gss: General Smoothing Splines
bacteriuria R Documentation
Treatment of Bacteriuria
Description
Bacteriuria patients were randomly assigned to two treatment
groups. Weekly binary indicator of bacteriuria was recorded for
every patient over 4 to 16 weeks. A total of 72 patients were
represented in the data, with 36 each in the two treatment groups.
Usage
data(bacteriuria)
Format
A data frame containing 820 observations on the following variables.
id Identification of patients, a factor.
trt Treatments 1 or 2, a factor.
time Weeks after randomization.
infect Binary indicator of bacteriuria (bacteria in
urine).
Source
Joe, H. (1997), Multivariate Models and Dependence Concepts.
London: Chapman and Hall.
References
Gu, C. and Ma, P. (2005), Generalized nonparametric mixed-effect
models: computation and smoothing parameter selection.
Journal of Computational and Graphical Statistics, 14,
485–504.
gss documentation built on Oct. 12, 2024, 1:08 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.
| bacteriuria | R Documentation |
Treatment of Bacteriuria
Description
Bacteriuria patients were randomly assigned to two treatment groups. Weekly binary indicator of bacteriuria was recorded for every patient over 4 to 16 weeks. A total of 72 patients were represented in the data, with 36 each in the two treatment groups.
Usage
data(bacteriuria)Format
A data frame containing 820 observations on the following variables.
id | Identification of patients, a factor. |
trt | Treatments 1 or 2, a factor. |
time | Weeks after randomization. |
infect | Binary indicator of bacteriuria (bacteria in urine). |
Source
Joe, H. (1997), Multivariate Models and Dependence Concepts. London: Chapman and Hall.
References
Gu, C. and Ma, P. (2005), Generalized nonparametric mixed-effect models: computation and smoothing parameter selection. Journal of Computational and Graphical Statistics, 14, 485–504.
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.