Explore: Multiple Comparisons (statistics)

Multiple comparisons, multiplicity or multiple testing problem occurs in statistics when one considers a set of statistical inferences simultaneously

Bonferroni correction is a method to counteract the multiple comparisons problem in statistics. Statistical hypothesis testing is based on rejecting the

treatments with a single control. Multiple comparisons to a control are also referred to as many-to-one comparisons. Dunnett's test was developed in 1955;

rate of type I errors in null hypothesis testing when conducting multiple comparisons. FDR-controlling procedures are designed to control the FDR, which

In statistics, the Holm–Bonferroni method, also called the Holm method or Bonferroni–Holm method, is used to counteract the problem of multiple comparisons

Statistics (from German: Statistik, orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis,

A multiple birth is the culmination of a multiple pregnancy, wherein the mother gives birth to two or more babies. A term most applicable to vertebrate

remained largely undefined,[citation needed] leading to difficulties in comparisons between them. However, a definitive list of cities in the United Kingdom

variable. "a priori comparisons"/ "planned comparisons"- a particular set of comparisons "pairwise comparisons"-all possible comparisons i.e. Fisher's least

the original (PDF) on 2008-06-25. crime-statistics.co.uk, UK Crime Statistics and Crime Statistic Comparisons A Continent of Broken Windows – Alexander