Mixed models with medical and engineering applications

A useful reference regarding practical aspects of fitting mixed models in R is Faraway, J.J. (2006) Extending the linear model with R, Chapman and Hall/CRC, chapter 2 and 8.

Details on fitting linear mixed models in SPSS are provided in these notes.

Some data sets and R-code used in the course. The orthodontic data set "Orthodont" is a part of the nlme R package.

Participants are evaluated as passed/failed based on assessment of hand-ins.

Locations: Fib 14 Room 59 (Oct 2) and Fib 11 Room 115 (Oct 9)

DEADLINE for hand-ins is 12:00 Friday October 12.

1 Tuesday October 2 8.15-12.00: Slides (with exercises) (updated 01.10.18). Primer (updated 28.09.18) on covariance. Exercises to be handed in: 1, 3, 4, 5.

2 Tuesday October 2 12.30-16:00: Slides (with exercises) (updated 01.10.18) and spss-screen shots. Hand-in: exercise 3. Please install package pbkrtest.

3 Tuesday October 9: 8.15-12.00: Mixed models with correlated noise (updated 08.10.18). Logistic regression (updated 08.10.18) with random effects (updated 08.10.18).

4 Tuesday October 9: 12.30-16.00: (attendance not mandatory) you work on exercises and possibly mixed model analysis of your own data. I will be around to help.

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