Computes the variance of treatment effects for a trial based on the specified family distribution.
Usage
calculate_trial_variance(ald, tid, effect, family)
Arguments
- ald
Aggregate-level data.
- tid
Treatment identifier used to extract relevant columns from ald.
- effect
A character string specifying the effect scale (e.g., "log_odds", "risk_difference").
- family
A character string specifying the model family (e.g., "binomial", "gaussian").
Value
The computed variance of treatment effects.
Examples
if (FALSE) { # \dontrun{
ald <- data.frame(y.B.sum = c(10), N.B = c(100))
calculate_trial_variance(ald, tid = "B", effect = "log_odds", family = "binomial")
} # }