Sample Size Calculators
Plan precision and power across common medical and health-research designs.
Explore resourcePublic health · biostatistics · research methods
Transparent tools and structured academic resources for health and medical research—from the first question to a defensible analysis plan.
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Plan precision and power across common medical and health-research designs.
Explore resourceGenerate reproducible simple, systematic, stratified, or cluster samples.
Explore resourceSummarise binary diagnostic classification with intervals and careful interpretation.
Explore resourceClinically oriented lessons from foundations through modelling and appraisal.
Explore resourceA guided curriculum for questions, designs, sampling, ethics, and reporting.
Explore resourceConnect study-design guidance with ICC, kappa, alpha, and agreement tools.
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Biostatistics · Foundations
A sound analysis begins before any statistical test is selected. The study objective, outcome type, sampling structure, and intended interpretation should determine the method.
State precisely what quantity the study should estimate or compare. This keeps the design, analysis, and reporting aligned with the clinical question.
Choose the analysis from the research question and data structure—not from whichever test is most familiar.
Independent observations, repeated measurements, clustering, censoring, and paired data each require different assumptions and methods.
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Inputs and results retain a light workspace while using the same restrained borders, type scale, and teal accent system.
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A restrained visual refresh should improve discovery and hierarchy without weakening the site’s academic purpose.
Search, filters, image-like previews, strong category labels, and consistent resource cards.
Light article canvases, generous line height, accessible tables, print styles, and clear references.
No formula, assumption, validation, rounding, or calculator logic changes are part of the theme.