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Facilitar las comparaciones múltiples: un árbol de decisión y una guía de estadísticas visuales para datos con más de

Cody J Gurski1, Bonnie N Dittel1,2

  • 1Versiti Blood Research Institute, Milwaukee, WI, United States.

ImmunoHorizons
|January 6, 2026
PubMed
Resumen

Esta guía explica el análisis de varianza (ANOVA) y las pruebas de comparación múltiple para científicos. Ofrece consejos prácticos sobre cómo seleccionar, interpretar y presentar datos de experimentos con múltiples grupos.

Palabras clave:
ANOVAestadísticas de comparación múltipleanálisis post hoc

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