Skills by beita6969
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biostatistics
MIT· ★ 869 · updated 2026-06-08 — This skill handles survival analysis and time-to-event data common in clinical research, including Kaplan-Meier estimation, Cox proportional hazards regression, and competing…
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data-analysis
MIT· ★ 869 · updated 2026-06-08 — Data Analysis handles the full workflow of scientific data exploration: load CSV, Excel, or JSON files; identify and remove missing values, duplicates, and outliers; generate…
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data-stats-analysis
MIT· ★ 869 · updated 2026-06-08 — This skill brings rigorous statistical testing to your LLM workflow using standard Python libraries (scipy, statsmodels, numpy) that execute locally in your environment. Perform…
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gnomad-database
MIT· ★ 869 · updated 2026-06-08 — Access the Genome Aggregation Database via GraphQL API to retrieve population allele frequencies, loss-of-function intolerance metrics, and variant annotations across diverse…
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meta-analysis
MIT· ★ 869 · updated 2026-06-08 — meta-analysis synthesizes findings across studies by computing pooled effect sizes, testing for heterogeneity, and detecting publication bias through forest and funnel plots. It…
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statistical-testing
MIT· ★ 869 · updated 2026-06-08 — Statistical Testing provides researchers with advanced methods for hypothesis testing, Bayesian inference, survival analysis, time series modeling, and meta-analysis. The skill…
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statsmodels-stats
MIT· ★ 869 · updated 2026-06-08 — statsmodels-stats provides regression modeling, hypothesis testing, and time series analysis for statistical workflows. Build OLS, logistic, and generalized linear models; run…