Linear Mixed-Effects Models Using R

1. Introduction
Andrzej Gałecki, Tomasz Burzykowski

2. Case Studies
Andrzej Gałecki, Tomasz Burzykowski

3. Data Exploration
Andrzej Gałecki, Tomasz Burzykowski

4. Linear Models with Homogeneous Variance
Andrzej Gałecki, Tomasz Burzykowski

5. Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions
Andrzej Gałecki, Tomasz Burzykowski

6. ARMD Trial: Linear Model with Homogeneous Variance
Andrzej Gałecki, Tomasz Burzykowski

7. Linear Models with Heterogeneous Variance
Andrzej Gałecki, Tomasz Burzykowski

8. Fitting Linear Models with Heterogeneous Variance: The gls() Function
Andrzej Gałecki, Tomasz Burzykowski

9. ARMD Trial: Linear Model with Heterogeneous Variance
Andrzej Gałecki, Tomasz Burzykowski

10. Linear Model with Fixed Effects and Correlated Errors
Andrzej Gałecki, Tomasz Burzykowski

11. Fitting Linear Models with Fixed Effects and Correlated Errors: The gls()
Function
Andrzej Gałecki, Tomasz Burzykowski

12. ARMD Trial: Modeling Correlated Errors for Visual Acuity
Andrzej Gałecki, Tomasz Burzykowski

13. Linear Mixed-Effects Model
Andrzej Gałecki, Tomasz Burzykowski

14. Fitting Linear Mixed-Effects Models: The lme()Function
Andrzej Gałecki, Tomasz Burzykowski

15. Fitting Linear Mixed-Effects Models: The lmer() Function
Andrzej Gałecki, Tomasz Burzykowski

16. ARMD Trial: Modeling Visual Acuity
Andrzej Gałecki, Tomasz Burzykowski

17. PRT Trial: Modeling Muscle Fiber Specific-Force
Andrzej Gałecki, Tomasz Burzykowski

18. SII Project: Modeling Gains in Mathematics Achievement-Scores
Andrzej Gałecki, Tomasz Burzykowski

19. FCAT Study: Modeling Attainment-Target Scores
Andrzej Gałecki, Tomasz Burzykowski

20. Extensions of theRTools for Linear Mixed-Effects Models
Andrzej Gałecki, Tomasz Burzykowski

Keywords: Statistics, Statistical Theory and Methods, Statistics, general, Statistics and Computing/Statistics Programs