Clinical Trial Data Analysis: A Practical Primer
12 min read
A practical primer on clinical trial data analysis covering estimands, survival and mixed models, missing data, multiplicity, and reproducible workflows.
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Tagged: survival analysis
Cox Regression Survival Analysis: A Practical 2026 Guide
4 min read
Master cox regression survival analysis with this 2026 guide. Learn assumptions, model fitting in Python and R, PH diagnostics, and interpretation.
Hazard Ratios Explained Simply with Examples
18 min read
Hazard ratios explained clearly — definition, Cox model, interpretation, confidence intervals, plots and common pitfalls with R and Python examples.
Churn Prediction Models: A Practical Guide for Analysts
17 min read
A practical guide to churn prediction models — compare algorithms, engineer features, and ship reproducible retention analytics with proven methods.
Kaplan Meier Curves: A Practical Guide for Analysts
15 min read
Learn how to read, build, and interpret Kaplan Meier curves. Covers the math, log-rank tests, Python and R code, and common pitfalls with censoring.
Advanced Statistical Methods a Practical Guide for 2026
16 min read
Advanced statistical methods explained for working analysts. Learn when to use IV, GARCH, Cox PH, and hierarchical models with practical workflows.