Calc Sample Size
Aperivue/medsci-skillsInteractive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interpretation, and IRB-ready justification text. Supports diagnostic accuracy, agreement, proportions, continuous outcomes, survival, ANOVA, logistic regression, and non-inferiority/equivalence designs.
At a glance
/plugin marketplace add Aperivue/medsci-skills
/plugin install calc-sample-size
Setup, runtime and requirements describe Aperivue/medsci-skills, the repo this skill ships in.
Also in Aperivue/medsci-skills
View the repoMedical AI paper optimization for AI search engines (Perplexity, ChatGPT web, Elicit, Consensus, SciSpace) and RAG-based literature tools. A...
Add a new journal to the MedSci Skills profile database. Extracts metadata from author guidelines, generates write-paper (detailed) and find...
Statistical analysis for medical research papers. Generates reproducible Python/R code with publication-ready tables and figures. Supports d...
Choose a model architecture for a medical-imaging research question before scaffolding. Maps the task (classification, segmentation, detecti...
PubMed author profile analysis. Author name → PubMed fetch → study-type classification → visualization → strategy report → optional trajecto...
Generate N analysis scripts from a single methodology template × multiple exposure/outcome combinations. The "80-person team" pattern — same...
Check manuscript compliance with medical research reporting guidelines. Supports 49 guidelines including STROBE, STROBE-MR, RECORD, REMARK (...
Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approv...
Offer your local changes back to the project — a journal profile you added, a checklist item you fixed, a skill you adapted to your departme...
End-to-end cross-national comparison study using KNHANES + NHANES + CHNS (or other parallel surveys). Variable harmonization, parallel weigh...
Literature-grounded variable operationalization for observational research. Turns a data dictionary + research question into a citation-back...
De-identify clinical research data before LLM-assisted analysis. Standalone Python CLI detects PHI via regex + heuristics with 10 country lo...