relative.effects.table {bnma}

Make a summary table for relative effects

Description

This function creates a summary table of relative effects. Relative effects are in units of log odds ratio for binomial and multinomial data and real number scale for normal data.

Usage

relative.effects.table(
  result,
  summary_stat = "mean",
  probs = NULL,
  base.category = NULL
)

Arguments

result

Object created by network.run function

summary_stat

Specifies what type of statistics user wants. Options are: "mean", "ci", "quantile", "sd", "p-value". "ci" gives 95 "p-value" is the probability relative effect (in binomial, log odds ratio) is less than 0.

probs

Used only for the quantile summary. Specifies which quantile user wants the summary of (should be one numeric value between 0 to 1)

base.category

Specifies for which base category user wants for the summary. Used only for multinoimal.

Value

Returns relative effects table

See Also

relative.effects

Examples

#cardiovascular
network <- with(cardiovascular,{
 network.data(Outcomes, Study, Treat, N, response = "multinomial")
})

result <- network.run(network)
exp(relative.effects.table(result)) #look at odds ratio instead of log odds ratio