Postgraduate course
in
ANOVA and Repeated Measurements
Last edited on September 29th 2016 at 9:30 am
By Bo Martin Bibby
bibby@biostat.au.dk
The most important Stata commands used in the course: stata.pdf
A strategy for choosing an appropriate repeated measurements analysis: choice.pdf

Additional litterature: The following books are good references in the field of statistical analysis for repeated measurements written for medical researchers and with some examples in Stata.

• Jos W. R. Twisk: Applied Longitudinal Data Analysis for Epidemiology. A Practical Guide. Second Edition (2013). Cambridge University Press.
• Brady T. West, Kathleen B. Welch & Andrzej T. Galecki: Linear Mixed Models. A Practical Guide Using Statistical Software. Second Edition (2015). Chapman & Hall.

Video tutorials on Stata: The Stata home page has a lot of video tutorials on how to do data handling and statistical analyses in Stata:

• Stata video tutorials.

Preliminary Program


Tuesday September 13th 2016

09.15 - 11.00	Introduction, One-Way ANOVA, and Two-Way ANOVA	Lectures: Lecture notes day 1
11.00 - 12.00	Exercises	Stata code used at the lectures day 1: day1.do.
12.00 - 13.00	Lunch break	Data sets used at the lectures day 1: Stata: cancer.dta, weight.dta and bmidb.dta. Excel: cancer.xls, weight.xls and bmidb.xls.
13.00 - 14.00	Introduction to MANOVA	Exercises: Exercises day 1
14.00 - 15.45	Exercises	Data sets used at the exercises day 1: Stata: folate.dta, shotput.dta and wh.dta. Excel: folate.xls, shotput.xls and wh.xls. Solution to exercises day 1: exday1.do.

Friday September 16th 2016

09.15 - 11.00	Repeated Measurements part 1	Lectures: Lecture notes day 2
11.00 - 12.00	Exercises	Stata code used at the lectures day 2: day2.do
12.00 - 13.00	Lunch break	Data sets used at the lectures day 2: Stata: rat.dta, vo2.dta and gb.dta. Excel: rat.xls, vo2.xls and gb.xls.
13.00 - 14.00	Repeated Measurements part 2	Exercises: Exercises day 2
14.00 - 15.45	Exercises	Data sets used at the exercises day 2: Stata: leukocyte.dta, crp.dta and cardiac.dta. Excel: leukocyte.xls, crp.xls and cardiac.xls. Solution to exercises day 2: exday2.do.

Tuesday September 20th 2016

09.15 - 10.30	Time as a covariate, random coefficient models	Lectures: Lecture notes day 3
10.30 - 12.00	Exercises	Stata code used at the lectures day 3: day3.do.
12.00 - 13.00	Lunch break	Data sets used at the lectures day 3: Stata: height.dta, distance.dta and diet.dta. Excel: height.xls, distance.xls and diet.xls.
13.00 - 14.30	More complex designs/models	Exercises: Exercises day 3
14.30 - 15.45	Exercises	Data sets used at the exercises day 3: Stata: crp.dta and smoke.dta . Excel: crp.xls and smoke.xls. Solution to exercises day 3: exday3.do.

Friday September 23th 2016

09.15 - 10.30	Variance component models	Lectures: Lecture notes day 4
10.30 - 12.00	Exercises	Stata code used at the lectures day 4: day4.do.
12.00 - 13.00	Lunch break	Data sets used at the lectures day 4: Stata: mouse.dta, sts.dta and cardiac.dta. Excel: mouse.xlsx, sts.xlsx and cardiac.xls.
13.00 - 14.00	Choice of analysis, presenting the analysis and the results	Exercises: Exercises day 4
14.00 - 15.00	Exercises	Data sets used at the exercises day 4: Stata: capillary.dta and pss.dta . Excel: capillary.xlsx and pss.xlsx.
15.00 - 15.45	Course evaluation	Solution to exercises day 4: exday4.do.

Tuesday September 27th 2016

09.15 - 12.00	Analysis of own data / individual consultations
12.00 - 13.00	Lunch break
13.00 - 15.45	Analysis of own data / individual consultations

Friday September 30th 2016

09.15 -13.00

Presentation of analysis of own data

Prepare a 10 minute presentation: What is the scientific question, what data do you have, what statistical analyses did you do and what were the results and conclusions?