Learn what analysis of variance (ANOVA) is, how it works, and when to use it. See how it helps compare means across multiple data groups in statistics and research.

Meta-analysis is a commonly used approach to increase the sample size for genome-wide association searches when individual studies are otherwise underpowered. Here, we present a meta-analysis ...

The table above is from the new study in Science Magazine “Gender Similarities Characterize Math Performance” (abstract free, $10 for full study) recently discussed here on CD, in the WSJ, and on ...

Sequential probability ratio tests for the components of variance in a random-effects model are studied. The test criteria are based on range estimates in place of the usual mean squares. The ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Mediation effects of multiple mediators are determined by two associations: one between an exposure and mediators (S-M) and the other between the mediators and an outcome conditional on the exposure ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision ...

Since Kimura (1968) and King & Jukes (1969) first suggested that most polymorphisms are selectively neutral, testing the neutral hypothesis has been one of the prime objectives of molecular population ...