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statzel — Guides by field
Not sure which test you need? Pick your field for a plain-language tour of the methods that matter most in your work — and when to reach for each one.
🔍
Starting out — describe & explore
Look at the data, check its shape, and answer the simplest questions — before any modelling.
7 topics · 36 methods
🧮
Planning a study — power & sample size
Work out how many you need before you collect — for significance, for precision, or to show equivalence.
4 topics · 20 methods
🩺
Clinicians & epidemiologists
Compare treatments, measure risk and rates, follow patients over time, and pool the evidence.
10 topics · 52 methods
🧪
Laboratory & IVD specialists
Validate an assay the CLSI way: precision, trueness, linearity, detection limits, and reference ranges.
7 topics · 25 methods
📈
Econometricians & economists
Regression with real-world complications: panels, endogeneity, time series, volatility.
6 topics · 24 methods
🧠
Social & behavioral scientists
Experiments, surveys, latent constructs, reliability, and Bayesian alternatives.
6 topics · 40 methods
⚙️
Quality & process engineers
Keep processes in control, capable, and well-measured — the Six Sigma toolkit.
5 topics · 17 methods
🤖
Data scientists & ML practitioners
Predict, cluster, reduce dimensions, and validate — the machine-learning toolkit.
5 topics · 33 methods
🔬
Bench & analytical scientists
Fit dose-response and kinetic curves, find peaks, and tame instrument signals.
6 topics · 30 methods
📊
Market & business analysts
Segment customers, optimize reach, run A/B tests, and read what moves the numbers.
6 topics · 22 methods
Looking for the full alphabetical list instead? See the
Methods catalog
.
statzel — Guides by field