Fit a frequentist model — frequentist • metainsight

Fits a frequentist model with netmeta::netmeta()

Usage

frequentist(
  non_covariate_data,
  outcome,
  treatments,
  outcome_measure,
  effects,
  reference_treatment
)

non_covariate_data: Input dataset with any covariates removed.
outcome: character. Outcome type for the dataset. Either binary or continuous.
treatments: dataframe. Treatments
outcome_measure: character. Outcome measure of the dataset. Either OR, RR or RD when outcome is binary or MD or SMD when outcome is continuous
effects: character. Type of model to fit, either random or fixed
reference_treatment: character. The reference treatment of the dataset

List containing:

netmeta: list. NMA results from netmeta::netmeta()
pairwise: dataframe. Results from meta::pairwise() but with treatment labels
pairwise_reversed: dataframe. pairwise as if the treatments had been the other way round