cardiovascular: Trials of low dose and high dose statins for cardiovascular...
In bnma: Bayesian Network Meta-Analysis using 'JAGS'
cardiovascular R Documentation
Trials of low dose and high dose statins for cardiovascular disease vs. placebo
Description
A dataset of 17 studies investigating dosage of statin for cardiovascular disease.
There are two treatments and a placebo. High dose statin is coded as 3, low dose statin as 2, and placebo is coded as 1 and treated as a baseline treatment.
Outcomes are reported as three mutually exclusive unordered outcomes.
First column of the outcome is the patients who are still alive (ALIVE). Second column is fatal non-cardiovascular disease (FnCVD).
And, the last column is fatal cardiovascular disease (FCVD).
Usage
cardiovascular
Format
A list of Outcomes, Treat, Study, and N
References
C.H. Schmid, T.A. Trikalinos, I. Olkin (2014), Bayesian network meta-analysis for unordered categorical outcomes with incomplete data, Research Synthesis Methods 5(2):162-185. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/jrsm.1103")}
bnma documentation built on Aug. 15, 2023, 5:08 p.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.
| cardiovascular | R Documentation |
Trials of low dose and high dose statins for cardiovascular disease vs. placebo
Description
A dataset of 17 studies investigating dosage of statin for cardiovascular disease. There are two treatments and a placebo. High dose statin is coded as 3, low dose statin as 2, and placebo is coded as 1 and treated as a baseline treatment. Outcomes are reported as three mutually exclusive unordered outcomes. First column of the outcome is the patients who are still alive (ALIVE). Second column is fatal non-cardiovascular disease (FnCVD). And, the last column is fatal cardiovascular disease (FCVD).
Usage
cardiovascular
Format
A list of Outcomes, Treat, Study, and N
References
C.H. Schmid, T.A. Trikalinos, I. Olkin (2014), Bayesian network meta-analysis for unordered categorical outcomes with incomplete data, Research Synthesis Methods 5(2):162-185. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/jrsm.1103")}
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.