Trial biostatistics toolkit

In-browser R Shiny app

Study Lifecycle Monitor

Synthetic dataR runs in your browser: Shinylive and webR

An operational health console for a synthetic portfolio of eight early-phase studies, from protocol to clinical study report. Each study is scored from 0 to 100 on timeline, data, TLF production and resourcing, and the console shows the portfolio heatmap, ranked early-warning signals, and the selected study's score breakdown, milestone track, TLF funnel, deliverables register and open-query trend. The scoring is transparent, so a what-if on one study's open queries or double programming moves its risk where you can see it. Study-level operations data only, with no participant data.

Starting the app below

Try this

  1. Click a study in the heatmap, the signals or the table, for example CP-107, to open its score breakdown, milestones, TLF funnel and deliverables: its TLFs and CSR are overdue with 44% of TLFs final.
  2. Pick CP-103 and drag Open queries to 120: its Data score rises, it turns amber and On watch goes from 3 to 4, its query-backlog signal turns red, and the trend marks the what-if with an open circle.
  3. For CP-108, raise Double-programmed % to 80: its Resource score falls, its double-programming lag signal goes and At risk drops to 0. Reset to data undoes every what-if.

Before you start

  • Synthetic data. Every study, participant, site and number in the example is invented for this toolkit.
  • R runs in your browser. Shinylive and webR run the same R code as local R; nothing you enter leaves your computer.
  • First visit: about 65 MB to download, usually 10 to 20 seconds on a fast connection and longer on a slow one. Later visits take 8 to 12 seconds, because R starts fresh each time.
  • Getting started: No installation is needed for this browser app. The source is also available in the toolkit.
The Study Lifecycle Monitor scrolled past its Start here card: KPI boxes reading 8 active studies, 1 at risk (CP-108), 3 on watch, 135 open queries, 46% of deliverables done and the next DB lock in 8 days (CP-105); the portfolio risk heatmap with CP-108 selected; and the ranked early-warning signals, red first.
The app scrolled past its Start here card: the KPIs, the risk heatmap with CP-108 selected and the ranked signals. It follows the site's light or dark theme. Synthetic data.
Starting The page is ready; the app starts here.

Starting the app

  1. This page and its instructions
  2. Service worker, which lets R serve the app inside this page
  3. R (webR) and the app's packages: download and start
  4. The app's page, served by R
  5. The first results, computed by R

Built with Shiny, Shinylive and webR. The app is the same R code that runs locally; this page reports each step of starting it, so a slow or failed start says what happened instead of staying blank. It follows the theme toggle in the top bar.