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SkillsMP は RConsortium/pharma-skills から 14 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 14 件中 14 件を表示しています。
Derives CDISC SDTM domains from raw clinical (EDC/eCRF) data using the {sdtm.oak} R package. Use when a user needs to map raw study data to SDTM Events (AE, CM, MH), Findings (VS, LB, EG), or Interventions (EX) domains following the sdtm.oak algorithm…
原文の言語: 英語
Derives an ADaM Tumor Response Analysis Dataset (ADRS) using the {admiral} and {admiralonco} R packages. Use when a user needs to create ADRS from SDTM RS domain data, derive RECIST 1.1 response parameters (overall response, confirmed response, best overall…
原文の言語: 英語
Parent skill for the admiral ADaM derivation family. Covers shared conventions used across all admiral child skills: library setup, pipe style, date derivation rules, flag variable conventions, and QC patterns. Route to a child skill for dataset-specific…
原文の言語: 英語
Generate a concise weekly progress summary for the pharma_skills repository. Use this to summarize recent commits, PRs, and issues, then post the update to Slack and save it as a markdown file.
原文の言語: 英語
End-to-end R workflow to simulate individual patient data (IPD) for a registered clinical trial using a g-formula causal-DAG simulator. Given an NCT ID with posted results and a protocol PDF, derives CRFs, builds an evidence-based causal DAG, parameterizes…
原文の言語: 英語
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…
原文の言語: 英語
Derives an ADaM Subject-Level Analysis Dataset (ADSL) using the {admiral} R package and pharmaverse ecosystem. Use when a user needs to create ADSL from SDTM domains, derive standard subject-level variables (treatment dates, disposition, demographics,…
原文の言語: 英語
Design and simulate clinical trials using the TrialSimulator R package and produce a QC-ready build-order-spine report that pairs each block of code with rationale, parameters, and operating characteristics.
原文の言語: 英語
Auto-discover all skills with evals in RConsortium/pharma-skills, benchmark each with vs. without skill using matched isolated sessions, and post scored results to the linked GitHub issue. Use whenever someone says "run benchmarks", "compare skill…
原文の言語: 英語
Converts one or more GitHub Issues into standardized benchmark data using automated scripts. Use when a user provides an issue number or URL and wants to add it to the evaluation suite.
原文の言語: 英語
Derives ADaM Basic Data Structure (BDS) datasets using the {admiral} R package. Initial scope covers ADVS (vital signs) and ADLB (laboratory values). Use when a user needs to create a BDS findings dataset from SDTM domains, derive parameter assignments,…
原文の言語: 英語
Derives an ADaM Adverse Events Analysis Dataset (ADAE) using the {admiral} R package and pharmaverse ecosystem. Use when a user needs to create ADAE from SDTM AE and supporting domains, derive standard adverse event analysis variables (severity, seriousness,…
原文の言語: 英語
Design group sequential clinical trials for survival endpoints (OS, PFS, DFS) with interim analyses, spending functions, boundaries, multiplicity, and event/enrollment prediction. Triggers on: Phase 3 trial design, sample size/events for survival endpoints,…
原文の言語: 英語
Generate a combined benchmark analysis for the group-sequential-design skill by reading all benchmark GitHub issues, selecting the latest completed run per issue, and producing a structured three-section report (summary table + overall scorecard + failure…
原文の言語: 英語