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

See Also

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)
head(ipddata) # participant-level data
head(stddata) # study-level data

# 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]