Analysis of variance and covariance: how to choose and construct modeis for the life sciences

摘要

The primary goal of the analysis of variance (ANOVA) is to explain variation in response variable by distinguishing a hypothesized effect, or combination of effects, from a null hypothesis of no effect compared simultaneously. It can identify interacting factors and measure scale of variation within a hierarchy of effects making it a powerful tool for answering questions about causality. One of the biggest challenges of experimental design is to identify and fairly represent all sources of variation in the data. All this is available in the chapters of this book which bridges the gap between statistical theory and practical data analysis of designed experiments.