In most GWAS, the participants are assumed to be unrelated and to come from a single population. However, even in carefully designed studies, some degrees of relatedness and population stratification ...

This short course will cover the one sample t-test, the two sample t-test, matched-pairs t-test, one-way ANOVA (Analysis of Variance), two-way ANOVA and ANCOVA (Analysis of Covariance). These ...

Analysis of variance (ANOVA) is a classical statistics technique that's used to infer if the unknown means (averages) of three or more groups are likely to all be equal or not, based on the variances ...

One use case for the analysis of variance statistics technique is asking if student performances are the same in three classrooms taught by the same teacher but with different textbooks, says Dr.

In this module, we will introduce the basic conceptual framework for experimental design and define the models that will allow us to answer meaningful questions about the differences between group ...

Part I: The analysis of variance in the case of models with fixed effects and independent observations of equal variance -- Point estimation -- Construction of confidence ellipsoids and tests in the ...