mtc.anohe: Analysis of heterogeneity (ANOHE)

In gemtc: Network Meta-Analysis Using Bayesian Methods

Analysis of heterogeneity (ANOHE)

Description

(EXPERIMENTAL) Generate an analysis of heterogeneity for the given network. Three types of model are estimated: unrelated study effects, unrelated mean effects, and consistency. Output of the summary function can passed to plot for a visual representation.

Usage

mtc.anohe(network, ...)

Arguments

network	An object of S3 class mtc.network.
...	Arguments to be passed to mtc.run or mtc.model. This can be used to set the likelihood/link or the number of iterations, for example.

Details

Analysis of heterogeneity is intended to be a unified set of statistics and a visual display that allows the simultaneous assessment of both heterogeneity and inconsistency in network meta-analysis [van Valkenhoef et al. 2014b (draft)].

mtc.anohe returns the MCMC results for all three types of model. To get appropriate summary statistics, call summary() on the results object. The summary can be plotted.

To control parameters of the MCMC estimation, see mtc.run. To specify the likelihood/link or to control other model parameters, see mtc.model. The ... arguments are first matched against mtc.run, and those that do not match are passed to mtc.model.

Value

For mtc.anohe: an object of class mtc.anohe. This is a list with the following elements:

result.use	The result for the USE model (see mtc.run).
result.ume	The result for the UME model (see mtc.run).
result.cons	The result for the consistency model (see mtc.run).

For summary: an object of class mtc.anohe.summary. This is a list with the following elements:

cons.model	Generated consistency model.
studyEffects	Study-level effect summaries (multi-arm trials downweighted).
pairEffects	Pair-wise pooled effect summaries (from the UME model).
consEffects	Consistency effect summaries.
indEffects	Indirect effect summaries (back-calculated).
isquared.comp	Per-comparison I-squared statistics.
isquared.glob	Global I-squared statistics.

Note

This method should not be considered stable. It is an experimental feature and heavily work in progress. The interface may change at any time.

Author(s)

Gert van Valkenhoef, Joël Kuiper

See Also

mtc.model mtc.run

gemtc documentation built on July 9, 2023, 5:33 p.m.