Interactive Forest Plot

library(metalite)
library(forestly)

Overview

The forestly package creates interactive forest plots for clinical trial analysis & reporting.

• Safety analysis
  • Specific adverse events analysis
• Efficacy analysis (future work)
  • Subgroup analysis

We assume ADaM datasets are ready for analysis and leverage metalite data structure to define inputs and outputs.

forestly_adsl$TRTA <- factor(forestly_adsl$TRT01A, levels = c("Xanomeline Low Dose", "Placebo"), labels = c("Low Dose", "Placebo"))

forestly_adae$TRTA <- factor(forestly_adae$TRTA, levels = c("Xanomeline Low Dose", "Placebo"), labels = c("Low Dose", "Placebo"))

meta_forestly(
  dataset_adsl = forestly_adsl,
  dataset_adae = forestly_adae,
  population_term = "apat",
  observation_term = "wk12"
) |>
  prepare_ae_forestly(parameter = "any;rel;ser") |>
  format_ae_forestly() |>
  ae_forestly()

AE Criteria

Incidence (%) in One or More Treatment Groups

Download as CSV