Description Usage Arguments Details Value Functions See Also Examples
MSC network meta-analysis models
1 2 3 | consistency(x, mods = NULL, ...)
inconsistency(x, mods = NULL, ...)
|
x |
A set of aggregated performance score data, as computed with the |
mods |
Which moderators should be included in the model? These can be any of the same moderators included in |
... |
Any other arguments will be passed directly to |
The consistency and inconsistency models are those found in Law et al 2016:
Specifically, we fit one of two models using "Jackson's Model", as described in the paper, which differ only in their random effects:
First item
random contrast within study
Second item
random contrast within study, and random contrast within design
The results of an rma.mv
multivariate/multilevel Linear (mixed-effects) model (class "rma.mv"), with the following additional components, which can be passed along to other functions:
#'
name of reference score
vector of scores analysed
If consistency
was used, "consistency", else "inconsistency"
Label of performance, as used in previous functions
inconsistency
: Estimate differences in score performance using inconsistency model
Law, M.; Jackson, D.; Turner, R.; Rhodes, K. & Viechtbauer, W. Two new methods to fit models for network meta-analysis with random inconsistency effects BMC Medical Research Methodology, 2016, 16, 87.
1 2 3 4 5 6 7 8 9 | dat <- msc_sample_data()
bssamp <- get_bs_samples(dat, id, study, outcome, n.samples = 10,
scores = c("a", "b", "c", "d", "e", "f"),
moderators = c("age", "female", "x1"))
perf <- compute_performance(bssamp, fn = calibration_slope, lbl = "CS")
agg <- aggregate_performance(perf)
consistency(agg)
agg.c <- aggregate_performance(perf, "c")
consistency(agg.c)
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