create_INLA_dat: Prepare network meta-analysis dataset for INLA.

In gunhanb/nmaINLA: Network Meta-Analysis using Integrated Nested Laplace Approximations

Description

create_INLA_dat converts datasets in the one-study-per-row format to one-arm-per-row format , then adds indicator (dummy) variables for the basic contrasts, heterogeneity random effects and design-specific inconsistency random effects and for correlated multi-arm trials.

Usage

create_INLA_dat(
  dat = dat,
  armVars = c(treatment = "t", responders = "r", sampleSize = "n"),
  covariate = "cov",
  design = "des",
  nArmsVar = "na"
)

Arguments

dat	Data in one-study-per-row format.
armVars	Vector of per-arm variables The name of each component will be the column name in the resulting dataset.
covariate	Optional. Vector of study-specific covariate
design	Optional. Vector of study-specific design. We refer design for the set of treatments in each trial.
nArmsVar	Variable holding the number of arms for each study.

Details

The resulting data.frame can be used as data argument in nma_inla.

Value

A data frame with the generated coloumns.

Author(s)

Burak Kuersad Guenhan, [e-mail], Rafael Sauter and Gert van Valkenhoef

See Also

gemtc::mtc.data.studyrow

Examples

data('Smokdat')
## Create the dataset suitable for INLA
SmokdatINLA <- create_INLA_dat(dat = Smokdat, armVars = c('treatment' = 't', 'responders' = 'r'
,'sampleSize' = 'n'), nArmsVar = 'na')
## Check that the data are correct
print(SmokdatINLA)

gunhanb/nmaINLA documentation built on Feb. 27, 2021, 9:12 a.m.