Use Cases
Use Cases show Licklider from end to end: a researcher, a dataset, a question — and the complete path from raw data to a publication-ready figure with all required statistical disclosures. Each scenario activates specific guards, checks, and disclosure features from across the Transparency Trail, Statistical Audit, and Publishable Figs sections.
How to Use This Section
Each use case page follows the same structure:
- STEP 1 — The Scenario: researcher profile, research question, and dataset description
- STEP 2 — Licklider Analysis Path: step-by-step workflow through the system
- STEP 3 — Guards & Disclosures Activated: which Licklider features engage and what they produce
- STEP 4 — Export Package: what the researcher receives at the end
Group Comparison & ANOVA
The most common scenario in experimental research: comparing two or more groups on a continuous outcome. Covers verified parametric paths (t-tests, ANOVA, post-hoc). For rank-based alternatives, see the Non-Parametric Alternatives guidance page — not a verified end-to-end engine path in the current product.
Regression & Curve Fitting
Modeling the relationship between variables, predicting outcomes, and fitting biological response curves. Includes assumption diagnostics, model validation, and curve parameter reporting.
Survival Analysis
Time-to-event analyses for clinical and preclinical research, with mandatory at-risk tables, censoring disclosure, and hazard ratio reporting.
Normality & Power
Pre-study power calculations and post-hoc normality checks — the two most common analytical questions before and after data collection.
Categorical & Association
Frequency, proportion, and association analyses for categorical outcomes, including small-sample exact tests and effect size reporting for contingency tables.
Life Sciences Applications
Domain-specific workflows for biological research — from flow cytometry gating to multi-omics differential analysis, with the pseudoreplication and batch confounding guards essential for experimental biology.