R Biostatistics Cheat Sheets
Free, original R cheat sheets for clinical tables, regression, survival, missing data, mixed models, scale development, causal inference and clinical trials.
Twelve concise, code-first references for clinical research and reproducible biostatistics. Every PDF is free to download and includes review checks, reporting guidance and runnable R patterns.
12 references
Models · Intermediate
Clinical regression
Choose an outcome model, encode predictors, diagnose fit and report effects.
Clinical · Intermediate
Survival analysis
Kaplan-Meier, log-rank, Cox models, proportional hazards and censoring.
Clinical · Intermediate
Diagnostic accuracy
2 × 2 metrics, predictive values, likelihood ratios, ROC curves and bias.
Reporting · Beginner
Effect sizes & reporting
Match effects to designs and pair estimates with confidence intervals.
Study design · Advanced
Missing data
Audit missingness, configure MICE, pool models and run MNAR sensitivity checks.
Models · Advanced
Mixed models
Random effects, marginal means, clustered outcomes and model diagnostics.
Study design · Intermediate
Power & sample size
Design inputs, attrition, cluster inflation, sensitivity grids and simulation.
Models · Intermediate
Repeated measures
Paired tests, baseline-adjusted ANCOVA, longitudinal models and missing visits.
Clinical · Advanced
Clinical trial analysis
Estimands, analysis sets, adjusted effects, subgroups and sensitivity analyses.
Measurement · Advanced
Scale development & validation
Item audits, polychoric correlations, EFA, ordinal CFA, reliability and scoring.
Study design · Advanced
Causal inference
Target trials, DAG logic, positivity, IPTW, balance and standardization.
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