Practical statistical techniques, power analysis, error control, diagnostics, and reproducible reporting checklists to support valid inference.
A practical, reproducible analysis-report template with required sections, minimal examples, and an explicit reproducibility checklist covering data provenance, preprocessing, assumptions, models, diagnostics, sensitivity checks, and artifacts needed to reproduce results.
Interactive checklist to ensure statistical analyses are planned, executed, diagnosed, and reported with transparency, reproducibility, and appropriate error control.
A practical, step-by-step playbook for planning analyses, choosing appropriate tests and models, running diagnostics, handling missing data, controlling error rates and multiple comparisons, performing sensitivity checks, and producing reproducible reports.