BIOSTATS 640 Intermediate Biostatistics Biostatistics and Epidemiology UMass Amherst

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For Students

1. Review of BIOSTATS 540
2. Discrete Distributions

3. Introduction to Nonparametrics

4. Categorical Data Analysis

5. Normal Theory Regression
6. Analysis of Variance

7. Logistic Regression
8. Introduction to Survival Analysis
9. (Time permitting) Introduction to Mixed Models

6. Analysis of Variance

Scroll down for (1) BIOSTATS 640 2021 (2) Additional Readings and Videos (3) Resources for Learning R (4) Resources for Learning Stata, and (5) Other (Applets, Calculators, etc.)

(1) BIOSTATS 640 - 2021
UNIT Introduction
VIDEO (Source: Dr. Nic's Math and Stats Youtube Channel) Understanding Anova (video, 6:04)
(Source: www.artofstat.com) ANOVA (html)

(Source: Whitlock and Schluter, The Analysis of Biological Data) Chapter 15 Analysis of Variance Overheads (pdf, 15 pp)

VIDEO
(Source: Jim Grange) Factorial Anova: Interactions and Main Effects (video, 11:25)
Lecture Notes - 2021 course notes, 6. Analysis of Variance (R & Stata) (pdf, 58 pp)
Supplement (forthcoming)
Homework due Friday April 16, 2021 Questions (pdf, 5 pp)

SOLUTIONS to homework
R Users (pdf, 13 pp)
Stata Users (pdf, 12 pp)

VIDEO (Source: Dr. Nic's Math and Stats Youtube Channel) Understanding Anova (video, 6:04)
VIDEO (Source: jbstatistics) Introduction to ANOVA - All 5 Videos (html)
(Source: John Mc Gready, Johns Hopkins SPH) Statistical Reasoning I
Lecture 5g - Comparing Means between More Than Two Independent Populations (23 slides)
(source: https://www.ndsu.edu/faculty/horsley/EMS_notes_(revised).pdf)
Expected Mean Squares (pdf, 14 pp)

(3) Resources for Learning R
(Source: Whitlock and Schluter, The Analysis of Biological Data) R Lab - Introduction to ANOVA (pdf, 9 pp)
(Source: Mangiafico Salvtore. R Companion for Handbook of Biological Sciences ) One-Way Anova in R (html)
(Source: Mangiafico, Salvtore. R Companion for Handbook of Biological Sciences ) Two-Way Anova in R (html)
(Source: https://www.datanovia.com/en/lessons/anova-in-r/) Anova in R: (html)
(Source: https://garthtarr.github.io/meatR/emmeans.html) Anova in R - Estimated Marginal Means (html)
2021 forthcoming: R Illustration 2021 Analysis of Variance (forthcoming)
4/26/2017 Cheat Sheet for R for Analysis of Variance (pdf, 3 pp)
(Source: web.stanford.edu ) Anova Models (html)
(Source:http://homepages.inf.ed.ac.uk/bwebb/statistics/ANOVA_in_R.pdf ) Anova in R (html)
(Source:http://www.r-tutor.com/elementary-statistics/analysis-variance ) R Tutorial - Analysis of Variance (html)
(Source: Colleen Moore & Mike Amato, University of Wisconsin ) Two Way Between Group ANOVA (html)
(Source: C. Patrick Doncaster ) Analysis of Variance and Covariance in R (html)

(4) Resources for Learning Stata
(Source: IDRE UCLA Resources to Learn Stata ) - ANOVA fragments (html)
(Source: IDRE UCLA Resources to Learn Stata ) - How to do ANOVA contrasts (html)
2017 but still okay: Stata for Analysis of Variance (pdf, 21 pp) Download (hers_640anova.dta)
ONE WAY Analysis of Variance
(Source: Richard Williams University of Notre Dame ) - Using Stata for One Way Analysis of Variance (pdf, 3 pp)
(Source: Stata Corp Youtube) - Chuck Huber)
VIDEO One Way Analysis of Variance (video 6:08)
Illustration: One Way Analysis of Variance (pdf, 15 pp)
TWO WAY Analysis of Variance
(Source: Richard Williams University of Notre Dame ) - Using Stata for Two Way Analysis of Variance (pdf, 2 pp)

(Source: Stata Corp Youtube) - Chuck Huber)
VIDEO One Way Analysis of Variance (video 6:17)

(Source: Bo Martin Bibby, Aarhus University) One and Two Way ANOVA (pdf, 46 slides)
(Source: German Rodriguez, Princeton ) - Two-Way Analysis of Variance (html)
Post Estimation and Model Checking
(Source: IDRE UCLA Resources to Learn Stata ) - How to Use ANOVAPLOT (html)
(Source: IDRE UCLA Resources to Learn Stata) - How to Perform Tests of Simple Main Effects (html)
(Source: IDRE UCLA Resources to Learn Stata) - How to Perform Tests of Contrasts (html)
(Source: Philip Ender) - Linear Statistical Models: Checking Assumptions (html)
(Source: IDRE UCLA Resources to Learn Stata) - Test of Homogeneity of Variances (html)
(Source: IDRE UCLA Resources to Learn Stata) - Stata Anova Commands (html)

(5) Other (Applets, Calculators, etc.)
(Source: Agresti, Franklin, Klingenberg) Artofstat.com Introduction to Analysis of Variance (html)

 Copyright 2021 University of Massachusetts, Amherst. This is the course web site for BIOSTATSh 640W, Biostatistics Program, Department of Biostatistics and Epidemiology. Produced and maintained by the School of Public Health and Health Sciences. Send comments or questions about this web site to cbigelow@schoolph.umass.edu. Page updated: April 5, 2021