klaude-stats

Plugin klaude-stats from marketplace klaude-package-for-share in fireman333/Klaude-Package-For-Share. Commands read from the repo's manifest — 19 days ago.

Skills (17)

• auc-cstat

  auc-cstat: AUC (logistic, binary) or C-index (Cox PH, time-to-event); discrimination alone + incremental value vs clinical model (delta+p). Trigger: AUC, C-statistics, C-index, c-statistic, concordance index, ROC analysis, ROC AUC, discrimination, incremental discrimination, delta AUC, delta C-index

• biostats-guardian

  biostats-guardian：統計 pipeline 品質防護，deterministic-first。執行前用腳本做確定性檢查（`precheck_configs.py` 欄位/型別/EPV/success_criteria、`script_hashes.py` 比對 pipeline 腳本 sha256），只對腳本抓不到的語意問題派 subagent（欄位存在但意思不對、estimand 設計、PH 違反後做了什麼）；執行後由 Results Auditor 稽核輸出。涵蓋 table1、kaplan-meier、competing-risk、univariate-forest、mu

• competing-risk

  Competing risk analysis. Trigger: competing risk, competing risks, cumulative incidence, CIF, CIF plot, CIF curve, competing event, competing cause, Aalen-Johansen, cause-specific hazard, cumulative incidence curve, competing event analysis, 競爭風險, 競爭風險分析, 累積發生率, CIF圖, 競爭事件, 做CIF, CIF分析, 畫CIF圖, 幫我做co

• data-dictionary

  Generate codebook-style Data Dictionary CSV (類別/name/label/values, TTM format) from Excel/CSV. Trigger: data dictionary, codebook, variable list, data dictionary CSV, generate data dictionary, create codebook, variable documentation, 資料字典, 代碼表, 變數清單, 欄位說明, 資料說明表, 做代碼表, 產生資料字典, 建立變數說明, 幫我做資料字典, gener

• exploratory-data-analysis

  Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown rep

• flowchart

  Publication-ready CONSORT flowchart (Figure 1) w/ auto exclusion counts; PNG+Excel. Trigger: flowchart, flow chart, CONSORT diagram, patient selection diagram, inclusion exclusion criteria, study flow, enrollment diagram, patient screening, Figure 1, study enrollment diagram, exclusion diagram, excl

• kaplan-meier

  Publication-ready Kaplan-Meier survival curves w/ log-rank test, number-at-risk table, Excel summary; 2+ groups. Trigger: Kaplan-Meier, KM curve, survival curve, survival analysis, log-rank test, survival plot, time-to-event plot, event-free survival, overall survival curve, KM plot, draw survival c

• manuscript-results

  Drafts a publication-ready manuscript Results section (.docx) from Excel outputs of table1/univariate-forest/multivariate-interaction/kaplan-meier/competing-risk/psm-matching/auc-cstat, in academic English or Traditional Chinese. Trigger: write results, results section, manuscript results, draft res

• multivariate-interaction

  multivariate-interaction: one adjusted multivariate model (Cox→HR / Logistic→OR) + p-interaction per covariate between two groups; Excel output. Trigger: multivariate analysis, multivariable regression, interaction analysis, interaction term, p-interaction, subgroup interaction, adjusted model, subg

• pheweb-phewas

  pheweb-phewas: rsID list × a PheWeb instance (UK Biobank / BioBank Japan) → full PheWAS record + deduplicated phenotype functions + target-domain filter, as Excel + Word + Chinese SOP/decision log. Trigger: /pheweb, /phewas, PheWeb, PheWAS, pheweb.jp, pheweb.org, BioBank Japan, UKB-Neale, sentinel S

• psm-matching

  PSM analysis. Trigger: propensity score matching, PSM, matched analysis, propensity score, caliper matching, PS matching, matched cohort analysis, 1:1 matching, propensity matching, love plot, SMD, standardized mean difference, balance assessment, 傾向分數配對, PSM分析, 做PSM, 傾向分數分析, PS配對, PS配對分析, 傾向分數配對分析,

• raw-data-processing

  Process raw medical research Excel/CSV data into cleansed data + a data dictionary. Trigger: raw data processing, data cleaning, data cleansing, data dictionary, data preprocessing, codebook, variable encoding, prepare raw data, data wrangling, 資料清理, 代碼表, 原始資料處理, 資料前處理, 資料編碼, 資料字典, 變數編碼, 整理原始資料, 幫我整

• research-guardian

  AI 研究品質防護系統。在 AI agent 執行研究任務時，自動進行多重驗證、事實查核、文獻交叉比對、實驗設計檢查，防止幻覺、邏輯錯誤、引用錯誤、與 novelty 誤判。 任何時候 AI 被要求進行以下操作都應觸發本 skill： 生成研究假設、撰寫文獻回顧、設計實驗、分析數據、撰寫論文段落、評估研究結果的 novelty、 進行 systematic review、做 meta-analysis、提出研究方向建議、或任何聲稱「發現」或「創新」的場景。 即使使用者沒有明確要求驗證，只要涉及研究性質的輸出，都應主動啟動防護流程。 本 skill 設計用於整合進 AI agent pipeli

• research-plan

  Orchestrate research stats pipeline. Trigger: research plan, statistical plan, study protocol, 研究計劃, 統計規劃, 論文統計, 自動化統計, 幫我規劃統計, 規劃分析流程, plan my analysis, design my study analysis, 幫我做整篇論文的統計, run all analyses, 跑完整個分析, 全部統計一起跑, advisor feedback, 老師意見, 修改統計, revise analysis, 重跑分析, re-run pipeline, 老師回

• survival-diagnostics

  survival-diagnostics: pre-flight routing for time-to-event data — 6 checks (competing risks, recurrent events, time-varying exposure, left truncation, informative censoring, clustering) recommend kaplan-meier / competing-risk / Cox / IPW / frailty / robust SE. Trigger: survival diagnostics, survival

• table1

  Publication-ready Table 1: baseline characteristics comparison between two groups with auto statistical tests; Excel + CSV output. Trigger: Table 1, baseline characteristics, baseline table, demographic table, descriptive statistics table, group comparison, cohort comparison, patient characteristics

• univariate-forest

  univariate-forest: runs univariate regression (Cox→HR or Logistic→OR) for Overall/Group X/Group Non-X, outputs a formatted Excel summary + publication-ready forest plot (truncated x-axis). Trigger: univariate analysis, forest plot, HR forest, OR forest, univariate Cox, univariate logistic, unadjuste

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