Welcome to the course. This is a combined pre-graduate elective course (valgfag) and Ph.D.-course. Each of the modules 1-8 consist of video lectures and exercises. There is an exam/mandatory exercise for all participants - and additionally an oral exam for pre-graduate students.

Here is an overview of the course plan. The first session will be lectures. They all refer to the online teaching material in this page. The second session will be exercises.

week 14

	Type		Date	Start	end	room
Statistical data analysis using the computer program SAS	Lecture	thursday	4 apr 2024	12:15	15:00	Panum - 13.1.36, Und.lokale - Mærsk

week 15

	Type		Date	Start	end	room
Statistical data analysis using the computer program SAS	Exercises	tuesday	9 apr 2024	9:15	12:00	Panum - 21.2.22a, Und.lokale

Plan

First day: A comprehensive lecture with reference to the video lectures is given: link. To follow the class on zoom use this link: https://ucph-ku.zoom.us/j/4151941058?pwd=N1drUHlyTUdxY2NWaFFuNlUxRXUwUT09&omn=63674421041
Watching the video lectures and working with the exercises (take quizzes here in Absalon) is homework for the period between the two course days. Send questions to kach@sund.ku.dk
Second day: we discuss questions relating to the exercises based on responses to quizzes and topics raised - we also discuss questions about the exam. Those participating in the pre-graduate elective course spend five minute on course evaluation.

0. Prerequisites

1. Introduction to SAS programming

Use the discussion forum if you have questions about exercises and lectures for this part.

2. Simple procedures

Use the discussion forum if you have questions about exercises and lectures for this part.

3. SAS procedures for t-tests and ANOVA

Use the discussion forum if you have questions about exercises and lectures for this part.

4A. More about the SAS language - formats

4B. More about the SAS language - merging

Use the discussion forum if you have questions about exercises and lectures for these parts.

5. SAS procedures for linear regression

Use the discussion forum if you have questions about exercises and lectures for this part.

6A. The general linear model - PROC GLM

6B. The general linear model - transformation of covariates

6C. The general linear model - automatic model selection

Note that 6B+6C are not needed for the mandatory exercise

Use the discussion forum if you have questions about exercises and lectures for these parts.

7. Categorical data

Use the discussion forum if you have questions about exercises and lectures for this part.

8. Reading data into SAS

Use the discussion forum if you have questions about exercises and lectures for this part.

You can get an overview of (and some information about) the data sets used in the exercises here: SAS Exercises

Exam

The exam will be available here: and the data set is here:

PhD students: send your paper (no more than 5 pages) to the course secretary skl@sund.ku.dk no later than April 23, 2024 (14 days after the course).
Pre-graduate students: get the exam from digital eksamen - hand it in in digital eksamen.