Curriculum for KLMED8008 (Texbook 2nd edition)
The following refers to Rabe-Hesketh & Skrondal, Multilevel and Longitudinal Modeling Using Stata, 2nd ed. (2008) Stata Press.
Chapter 1 is assumed to be well known already, and the contents may be indirectly checked at the exam.
Chapter 2 Two-level linear models
2.1
2.2
2.3
The variance-components model
2.4
Fixed versus random effects
2.5 Estimation using Stata: xtmixed (except 2.5.4)
2.6
2.7 (details not required)
2.8
Crossed versus nested effects
2.9.2 Assigning values to the random intercepts: Empirical Bayes prediction
2.10
Chapter 3 Random-intercept models with covariates
3.1
3.2
3.3
The linear random-intercept model with covariates
3.4 Estimation using Stata: xtmixed (except 3.4.3)
3.5
(without details)
3.6
(3.7 is not part of the currculum)
3.8
Fixed versus random effects revisited
3.9
3.10 Consequences of using ordinary regression for clustered data (details not required)
Chapter 4 Random-coefficient models
4.1
4.2
4.3
4.4
Specification and interpretation of a random-coefficient model
4.5 Estimation using Stata: xtmixed (except 4.5.2)
4.6
4.7
4.8 Assigning values to the random intercepts and slopes
(4.9 is not part of the curriculum)
4.10
4.11
Chapter 5 Longitudinal, panel and growth-curve models
5.1
5.2
5.3 Data structure
5.4 Time scales in longitudinal data
5.5 Random- and fixed-effects approaches
(5.6, 5.7 and 5.8 are not parts of the curriculum)
5.9 Missing data
5.10
5.11 Growth-curve modeling (except 5.11.3)
5.15
Other material
- Definition, estimation and interpretation of covariance and correlation (Lecture 1)
- Comparing groups with adjustment for baseline using ANCOVA. (Lecture 2, Vickers,
A. J. and D. G. Altman (2001). "Statistics notes: Analysing controlled
trials with baseline and follow up measurements." Bmj 323(7321): 1123-4. )
- Repeated measures ANOVA (Lectures 2 and 3; details not required)