detecting-pv-signals
提供标准的药物不良反应信号检测方法，便于PV分析
基于自发报告数据计算PRR、ROR、EBGM和IC等不均衡信号指标以发现潜在不良反应。
用 FAERS/OpenFDA 的自发报告数据挖掘药物-不良反应关联，构建 2x2 表并计算不均衡信号指标如 PRR、ROR、EBGM、IC（BCPNN）来标记潜在安全信号。需要筛查过度报告的药物反应、运行 Empirical Bayes 或信息成分收缩时使用。特点是把复杂的统计收缩和阈值判断封装成可复现的信号检测流程。
▸ 展开 SKILL.md 英文原文
Computes disproportionality signals — PRR, ROR, EBGM, and IC (BCPNN) — over FAERS / OpenFDA drug-event data to flag potential safety signals. Use when the user wants to mine spontaneous-report data for drug-reaction associations, build a 2x2 contingency table, compute a Proportional Reporting Ratio or Reporting Odds Ratio, run Empirical Bayes (EBGM/EB05) or Information Component shrinkage, or screen a drug for over-reported reactions. Trigger keywords: disproportionality, signal detection, PRR, ROR, EBGM, EB05, IC, BCPNN, MGPS, 2x2 table, signal of disproportionate reporting, SDR, OpenFDA, FAERS. Pairs adjacent to OpenMed: aggregate de-identified, coded cases (from reporting-adverse-events) then query the public OpenFDA /drug/event count API to build the contingency table. Reaction terms are MedDRA PTs (licensed, user-supplied).
帮我安装这个 skill：https://raw.githubusercontent.com/maziyarpanahi/openmed/master/skills/detecting-pv-signals/SKILL.mdcurl -fsSL "https://raw.githubusercontent.com/maziyarpanahi/openmed/master/skills/detecting-pv-signals/SKILL.md"# Detecting pharmacovigilance signals (disproportionality) Spontaneous-report databases like the FDA's **FAERS** are mined for **signals of disproportionate reporting (SDR)**: drug-reaction pairs that occur together *more than expected* given the background of all reports. The core device is a **2x2 contingency table** and a disproportionality metric computed from it — **PRR**, **ROR**, **EBGM**, or **IC (BCPNN)**. You can build the 2x2 table directly from the **public, free OpenFDA** `/drug/event` endpoint (no PHI, no MedDRA license to *query*; the reaction terms returned are already MedDRA PTs). This skill is **statistical screening**: a high PRR is a *hypothesis*, not a confirmed advers