Clinical Table1
의학연구 tabular 데이터(.xlsx/.csv)에서 baseline characteristics을 비교하는 Table 1을 자동 생성하는 스킬. RCT, prospective/retrospective cohort, case-control, cross-sectional, registry, single-arm 등 연구 디자인을 모두 지원하며 디자인에 따라 p-value 보고 정책(RCT는 CONSORT 2010에 따라 baseline p 숨김)이 자동 분기된다. 연속형은 정규성에 따라 mean±SD(Welch t/ANOVA)와 median[IQR](Mann-Whitney/Kruskal-Wallis)로, 범주형은 n(%)와 chi-square/Fisher's exact/Monte Carlo chi-square로 처리한다. 모든 변수에 대해 SMD(2군은 표준, ≥3군은 max pairwise)를 색 코딩(<0.1 ok / 0.1-0.2 small / ≥0.2 meaningful)으로 표시한다. 출력은 HTML(단일 자기완결, Pretendard 임베딩, 다크모드/인쇄)과 Word(.docx)와 LaTeX(booktabs)을 한 번에 생성한다. 사용자가 "Tab
Install
npx skills add JeonKH81/MediStat-Table1 --skill clinical-table1git clone --depth 1 https://github.com/JeonKH81/MediStat-Table1.git /tmp/MediStat-Table1
mkdir -p ~/.claude/skills
cp -r /tmp/MediStat-Table1/. ~/.claude/skills/clinical-table1Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.
From the SKILL.md
# Clinical Table 1 — Baseline Characteristics 의학연구 tabular 데이터(.xlsx/.csv)에서 **publishable Table 1** 한 세트 (HTML + Word + LaTeX)를 한 번에 생성한다. 행은 관찰 단위(환자·내원·병변 등), 열은 변수, 그리고 사용자는 비교 대상이 될 **grouping variable**(예: 배정군, 노출군, case/control)을 지정한다. ## 핵심 차별점 - **연구 디자인별 p-value 정책 자동 분기** — RCT는 CONSORT 2010 (Moher BMJ 2010;340:c869) 및 Senn (Stat Med 1994;13:1715-26) 권고에 따라 baseline p-value 기본 숨김. 관찰연구는 표시하되 multiple testing 경고와 함께. - **모든 변수에 SMD 표시** (Austin Stat Med 2009;28:3083). 색 코딩: |SMD| < 0.1 (ok), 0.1–0.2 (small), ≥ 0.2 (meaningful) — propensity adjustment 검토 트리거. - **출판 가능한 3가지 포맷 동시 생성** — HTML (검토용/공유용), Word .docx (논문 본문 복붙), LaTeX (NEJM/JAMA 등 LaTeX 저널 직행). - **자동 정규성 판정** — |skewness| > 1 또는 사전등록된 known-skewed lab 변수(TG, CRP, BNP, troponin, creatinine, hsCRP, LOS, ferritin 등)는 자동 median[IQR]. - **자동 expected count 체크** — chi-square / Fisher's exact / Monte Carlo chi-square 자동 선택. ## 언제 이 스킬을 쓰는가 - 임상연구 분석의 첫 단계 — 군 간 baseline 비교표 제작 - 논문 Methods/Results의 Table 1 직접 사용 - IRB/PI 보고용 baseline summary - Multi-center / multi-arm 연구의 군별 특성 점검 가설검정 본분석, 생존분석, Cox/로지스틱 회귀, propensity score matching은 본 스킬의 대상이 아니다. 그쪽은 `survival-analysis`나 다른 분석 도구를 안내하라. ## 핵심 원칙 1. **연구 디자인에 따라 통계 정책이 분기된다** — 사용자가 디자인을 명시하지 않으면 단계 0에서 묻는다. 2. **p-value보다 SMD를 우선** — p-value는 표본크기에 좌우되어 임상 의미를 왜곡할 수 있다. SMD가 진짜 균형의 척도다. 3. **PHI는 출력에 넣지 않는다** — 식별자 컬럼(`patient_id`, `name`, `RRN` 등)은 자동 감지 또는 `--id-cols`로 명시하여 표에서 제외.
Details
- Skill name
clinical-table1- Repository
- JeonKH81/MediStat-Table1
- Repo updated
- 26 July 2026
FAQ
What does the Clinical Table1 skill do?
의학연구 tabular 데이터(.xlsx/.csv)에서 baseline characteristics을 비교하는 Table 1을 자동 생성하는 스킬. RCT, prospective/retrospective cohort, case-control, cross-sectional, registry, single-arm 등 연구 디자인을 모두 지원하며 디자인에 따라 p-value 보고 정책(RCT는 CONSORT 2010에 따라 baseline p 숨김)이 자동 분기된다. 연속형은 정규성에 따라 mean±SD(Welch t/ANOVA)와 median[IQR](Mann-Whitney/Kruskal-Wallis)로, 범주형은 n(%)와 chi-square/Fisher's exact/Monte Carlo chi-square로 처리한다. 모든 변수에 대해 SMD(2군은 표준, ≥3군은 max pairwise)를 색 코딩(<0.1 ok / 0.1-0.2 small / ≥0.2 meaningful)으로 표시한다. 출력은 HTML(단일 자기완결, Pretendard 임베딩, 다크모드/인쇄)과 Word(.docx)와 LaTeX(booktabs)을 한 번에 생성한다. 사용자가 "Tab
How do I install the Clinical Table1 skill?
skills CLI (Claude Code, Cursor, Codex and more): npx skills add JeonKH81/MediStat-Table1 --skill clinical-table1. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.
Is Clinical Table1 popular?
It lives in JeonKH81/MediStat-Table1, which has 6 GitHub stars and 2 forks.
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