summary.crossnma.model {crossnma} R Documentation

## Summary function for crossnma.model object

### Description

Summary function for crossnma.model object

### Usage

## S3 method for class 'crossnma.model'
summary(object, ...)


### Arguments

 object An object generated by the crossnma.model. ... Additional arguments (ignored)

### Value

An object of classes summary.crossnma.model and crossnma.model containing information on the JAGS model, which is a list containing the following components:

 model A long character string containing JAGS code that will be run in jags.model. data The data to be used to run JAGS model. trt.key A table of the treatments and its mapped integer number (as used in JAGS model). study.key A table of the studies and its mapped integer number (as used in JAGS model). trt.effect A character defining the model for the study-specific treatment effects. method.bias A character for defining the method to combine randomized clinical trials (RCT) and non-randomized studies (NRS). covariate A vector of the the names of the covariates (cov1, cov2 and cov3) in prt.data and std.data used in network meta-regression. cov.ref A vector of values of cov1.ref, cov2.ref, cov3.ref to center continuous covariates. Dichotomous covariates take NA. dich.cov.labels A matrix with the levels of each dichotomous covariate and the corresponding assigned 0 / 1 values. split.regcoef A logical value. If FALSE the within- and between-study regression coefficients will be considered equal. regb.effect A character indicating the model for the between-study regression coefficients across studies. regw.effect A character indicating the model for the within-study regression coefficients across studies. bias.effect A character indicating the model for the bias coefficients across studies. bias.type A character indicating the effect of bias on the treatment effect; additive ('add') or multiplicative ('mult') or both ('both'). all.data.ad A data.frame object with the prt.data (after it is aggregated) and std.data in a single dataset. call Function call. version Version of R package crossnma used to create object.

### Author(s)

Guido Schwarzer sc@imbi.uni-freiburg.de

print.summary.crossnma.model

### Examples

# We conduct a network meta-analysis assuming a random-effects
# model.
# The data comes from randomized-controlled trials and
# non-randomized studies (combined naively)

# Create a JAGS model
mod <- crossnma.model(treat, id, relapse, n, design,
prt.data = ipddata, std.data = stddata,
reference = "A", trt.effect = "random", method.bias = "naive")
summary(mod)



[Package crossnma version 1.0.1 Index]