Interactive Clinical Review with teal: Build Clinical Trial Data Apps in R
teal is the Roche/NEST framework for building interactive review and exploration apps for clinical-trial data. This lesson explains what teal is, its mental model — data…
Build interactive clinical-trial data review and exploration apps in R with teal — the Roche/NEST pharmaverse Shiny framework. Assemble an app from pre-built modules (data, a shared filter panel, and clinical modules from teal.modules.clinical) instead of hand-writing Shiny, so a medical monitor or statistician can explore ADaM datasets — demographics, Kaplan-Meier curves, adverse-event tables — on their own.
Learn › Pharma & Clinical › teal Clinical Review Apps
The tables, listings, and figures you build for a submission are static — a snapshot. But during a study, a medical monitor, a safety reviewer, or a statistician often wants to explore the analysis data interactively: subset by treatment arm, look at a Kaplan-Meier curve, open an adverse-event table, filter to a site. teal — the Roche/NEST pharmaverse Shiny framework — lets you give them that without hand-building a bespoke Shiny app: you assemble a review app from pre-built modules on public example data, so it is reproducible and consistent. The runtime is the judge.
init(), the pre-built clinical modules in teal.modules.clinical (demographics, Kaplan-Meier, adverse events, forest, MMRM), what a running app looks like, and where interactive review fits alongside the static submission outputs — with a link to launch a live teal app.Ask Prova “how do I add a Kaplan-Meier module to a teal app for an ADTTE dataset, and what does the modules list look like?” — it answers grounded in the real teal and teal.modules.clinical API, so the app fits your study, not a generic example. The runtime is the judge. Ask Prova →
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