Compute Difference in Average Treatment Effects or Relative Risk Ratio Between Two Subgroups
Source:R/compute_difference.R
compute_difference.Rd`r lifecycle::badge("deprecated")` This function is deprecated and will be removed in a future release. Please use the new `margot_compare_groups()` function and associated workflow instead.
This function calculates either the difference in average treatment effects (ATE) or the relative risk ratio (RRR) between two independent subgroups. Each subgroup is represented as a list that includes the estimated effect (theta) and the standard error (std.error) of the effect. The result includes both a data frame and an interpretation string formatted for easy use with `glue::glue` in Quarto documents etc. The subgroups are expected to be outputs from the `lmtp::lmtp_contrast()` function.
Arguments
- group1
A list containing the estimated effect and standard error of subgroup 1. Expected structure: list(vals = data.frame(theta = x, std.error = y)).
- group2
A list containing the estimated effect and standard error of subgroup 2. Expected structure: list(vals = data.frame(theta = x, std.error = y)).
- type
A character string specifying the type of calculation. "RD" for risk difference (default), "RR" for relative risk ratio.
Value
A list containing: - `results`: A data frame with columns `mean_difference`, `std_error`, `conf_low`, and `conf_high` for type "RD", or `rrr`, `std_error_log`, `conf_low`, and `conf_high` for type "RR", each rounded to 4 decimal places. Suitable for direct use in reporting. - `interpretation`: A string providing a formatted interpretation of the results.