This dataset, hfPrevention_mtc_network, contains network meta-analysis data from 19 trials comparing statins versus placebo or usual care for cholesterol lowering in heart failure. The main outcome measured is the number of deaths. Trials are categorized as either primary prevention (no previous heart disease) or secondary prevention (previous heart disease).
Usage
data(hfPrevention_mtc_network)Format
An 'mtc.network' object (list) with 4 components:
- description
Character string describing the analysis: "Cholesterol lowering in HF (outcome: death)"
- treatments
Data frame with 2 treatments:
- id
Treatment ID (factor with 2 levels)
- description
Treatment description (character vector)
- data.ab
Data frame with 38 rows (arm-level data):
- study
Study ID (factor with 19 levels)
- treatment
Treatment assignment (factor with 2 levels)
- responders
Number of deaths (integer vector)
- sampleSize
Total sample size per arm (integer vector)
- studies
Data frame with 19 rows (study-level data):
- study
Study ID (factor with 19 levels)
- secondary
Prevention type: 0 = primary, 1 = secondary (integer vector)
Source
Data taken from the gemtc package version 1.0-2. Original publication: Dias S, Sutton AJ, Welton NJ, Ades AE (2013). "Heterogeneity - Subgroups, Meta-Regression, Bias, and Bias-Adjustment." Medical Decision Making, 33(5):618-640.
Details
The dataset name has been kept as 'hfPrevention_mtc_network' to maintain consistency with its original source and to avoid confusion with other datasets. This naming convention helps identify this specific network meta-analysis dataset from the CardioDataSets package. The dataset is structured as an 'mtc.network' object, which is the standard format for network meta-analysis in the gemtc package. The original content has not been modified.