netmetareg: Network meta-regression with a single continuous or binary...
In guido-s/netmeta: Network Meta-Analysis using Frequentist Methods

netmetareg.netmeta

R Documentation

Network meta-regression with a single continuous or binary covariate

Description

Network meta-regression with a single continuous or binary covariate for objects of class netmeta. This is a wrapper function for the R function rma.mv in the R package metafor (Viechtbauer 2010).

Usage

## S3 method for class 'netmeta'
netmetareg(
  x,
  covar = NULL,
  consistency = TRUE,
  assumption = "independent",
  method.tau = if (!x$random) "FE" else "REML",
  level = x$level.ma,
  reference.group = x$reference.group,
  nchar.trts = x$nchar.trts,
  ...
)

netmetareg(x, ...)

## Default S3 method:
netmetareg(x, ...)

## S3 method for class 'netmetareg'
print(
  x,
  digits = gs("digits"),
  digits.se = gs("digits.se"),
  digits.stat = gs("digits.stat"),
  digits.pval = gs("digits.pval"),
  print.se = FALSE,
  details.methods = TRUE,
  ...
)

Arguments

`x`	An object of class `netmeta`.
`covar`	Continuous or binary covariate.
`consistency`	A logical indicating whether a consistency or inconsistency model should be assumed.
`assumption`	A character string indicating which assumption is done for the covariate; either "independent" or "common" (can be abbreviated).
`method.tau`	A character string indicating which method is used to estimate the between-study variance tau-squared. Either `"FE"`, `"REML"`, or `"ML"`.
`level`	The level used to calculate confidence intervals for regression coefficients.
`reference.group`	Reference treatment.
`nchar.trts`	A numeric defining the minimum number of characters used to create unique treatment names.
`...`	Additional arguments passed to R function `rma.uni`.
`digits`	Minimal number of significant digits, see `print.default`.
`digits.se`	Minimal number of significant digits for standard errors.
`digits.stat`	Minimal number of significant digits for z- or t-value, see `print.default`.
`digits.pval`	Minimal number of significant digits for p-value of overall treatment effect, see `print.default`.
`print.se`	A logical specifying whether standard errors should be printed.
`details.methods`	A logical specifying whether details on statistical methods should be printed.

Details

This R function is a wrapper function for R function rma.mv in the R package metafor (Viechtbauer 2010).

Note, results are not back-transformed in printouts of network meta-analyses using summary measures with transformations, e.g., log risk ratios are printed instead of the risk ratio if argument sm = "RR".

Argument '...' can be used to pass additional arguments to R function rma.mv. For example, argument control to provide a list of control values for the iterative estimation algorithm. See help page of R function rma.mv for more details.

Value

An object of class c("netmetareg", "rma.mv", "rma"). Please look at the help page of R function rma.mv for more details on the output from this function.

In addition, a list .netmeta is added to the output containing the following components:

`x`, `covar`, `method.tau`	As defined above.
`dots`	Information provided in argument '...'.
`call`	Function call.
`version`	Version of R package netmeta used to create object.
`version.metafor`	Version of R package metafor used to create object.