Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR). Use when the user provides clinical trial datasets, tables, listings, figures, analysis outputs, or submission materials and wants an independent check of correctness, consistency, traceability, or data realism. Reviews denominators, populations, endpoints, multiplicity, safety summaries, cross-layer links from TLF to ADaM to SDTM/source, and whether data looks clinically plausible. Trigger on requests to review TLFs, audit a submission package, verify an analysis, reproduce endpoints, check SDTM/ADaM, assess data quality, or detect fabricated or unrealistic trial data across any therapeutic area.
$npx -y skills add rconsortium/pharma-skills --skill statistical-reviewerInstalls into the current project.
Run `npx skills use "https://github.com/rconsortium/pharma-skills" --skill "rconsortium/pharma-skills/statistical-reviewer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/rconsortium/pharma-skills" that are relevant to the current task. Run `npx skills add "https://github.com/rconsortium/pharma-skills"` and select the relevant skills, then follow their instructions.