Difference between revisions of "StatsWAP2009Aug07"
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* Not covered: kernel smoothing, local weighting, moving averages, binning, loess (local estimation) etc. | * Not covered: kernel smoothing, local weighting, moving averages, binning, loess (local estimation) etc. | ||
* Non-parametric regression - | * Non-parametric regression - | ||
− | ** can factor in <math>y=f(x)+</math> | + | ** can factor in <math>y=f(x)+other stuff </math> |
+ | ** confounding effects | ||
+ | ** interactions |
Revision as of 19:17, 7 August 2009
Nonlinear Regression Models
- Brian Caffo's websiite: http://www.biostat.jhsph.edu/~bcaffo/
Resources
- Slides will be available here
- R-code will be available here
Notes
- Not covered: kernel smoothing, local weighting, moving averages, binning, loess (local estimation) etc.
- Non-parametric regression -
- can factor in <math>y=f(x)+other stuff </math>
- confounding effects
- interactions