Computes the mean and variance of marginal treatment effects for aggregate-level trial data.
Usage
ALD_stats(strategy, ald, treatments = list("B", "C"), scale)
Arguments
- strategy
A list containing the strategy details, including the family distribution.
- ald
Aggregate-level trial data
- treatments
Treatment labels list; default B, C (common; e.g. placebo)
- scale
A scaling parameter for the calculation.
Value
A list containing:
- mean
The marginal treatment effect mean.
- var
The marginal treatment effect variance.
Examples
if (FALSE) { # \dontrun{
strategy <- list(family = list(family = "binomial")) # basic version
ald <- data.frame(trial = 1:5, n_B = c(10, 20, 15, 30, 25), n_C = c(12, 18, 20, 25, 22))
ALD_stats(strategy, ald, treatments = list("B", "C"), scale = "log")
} # }