num_pages: 949
description: Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).
language: English
title: Primer of Applied Regression & Analysis of Variance
titlecomplete: Primer of Applied Regression & Analysis of Variance
ratings_count: 5
publisher: McGraw-Hill Education / Medical