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Applied Statistics: Easter Term
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/GAMpractical1.pdf2 Mar 2015: Remember: 12 inches = 1 foot) This data-set is already in R and can be accessed by typing data(trees); trees Create a new Girth variable measured in feet and not ... For example, plot( predict(cherry.am), residuals(cherry.am)) qqnorm(residuals(cherry.am), -
Introduction to Cost-Effectiveness Analysis
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/GAM_slides1.pdf2 Mar 2015: How do we extend?– Depends!– New distributional model (e.g. beta-binomial)– Quasi-likelihood– Mixed effects models (GLMM or LMM) or Population-. -
Applied Statistics: Easter Term
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/EMlecture2015.pdf2 Feb 2015: re-estimating the missing values given the new parameter estimates; 4. re-estimating the parameters given the new missing values; and. ... New York: Springer-Verlag. 2. McLachlan, G. J. and Krishnan, T. (1997). -
Applied Statistics: Easter Term 2002
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/GAMlecture20151.pdf2 Mar 2015: t i n. to use as our new reduced set of knots, say { : 1, , ; }k. ... set of h. ’s, repeat the prediction process and construct a new score.
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