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Softwares || Short Course || Data Sets || Contents(problem sets and figures)
The following materials are supplementary to the book, prepared by the author Peter X.-K. Song. ( Some links to problem sets are unavailable at this time.)
Data Sets
- Dataset of Air Pollution Study [ Dataset Description]
- Dataset of Body Fat Index [ Dataset Description]
- Dataset of Burn Injury [ Dataset Description]
- Dataset of Children Hospital Visits [ Dataset Description]
- Dataset of Children Health Studies [ Dataset Description]
- Dataset of Cross-over Trial
- Dataset of Epileptic Seizures
- Dataset of Infant Sleep [ Dataset Description]
- Dataset of Multiple Sclerosis Trial [ Variable definiton in SAS code]
- Dataset of Retinal Surgery
- Dataset of Sandhopper Orientation
- Dataset of Schizophrenia Trial [ Dataset Description]
- Dataset of TEC Drug Trial (in WinBUGS Data Format)
- Dataset of Tokyo Rainfall
- Dataset of US Polio Incidences
Chapter 1: Introduction and Examples
Problem Set 1
Chapter 2: Dispersion Models
Problem Set 2
Chapter 3: Inference Functions
Problem Set 3
Chapter 4: Modeling Correlated Data
Problem Set 4
Chapter 5: Marginal Generalized Linear Models
Project Set 5
Chapter 6: Vector Generalized Linear Models
Problem Set 6 (Unavailable at this time); |
Figure 6.3; | Figure 6.4; |
Chapter 7: Mixed-Effects Models: Likelihood-based Inference
Project Set 7 ((Unavailable at this time); |
Figure 7.3 (top); | Figure 7.3 (bottom);
Chapter 8: Mixed-Effects Models: Bayesian Inference
Project Set 8 (Unavailable at this time); |