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2 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),

2 Apr 2014: The new parameter estimates are obtained from these replaced sufficient statistics as though they had come from the complete sample (Maximisation step: M-step).

2 Mar 2015: How do we extend?– Depends!– New distributional model (e.g. beta-binomial)– Quasi-likelihood– Mixed effects models (GLMM or LMM) or Population-.

2 Apr 2014: Why?– In order to inform medical interventions– Help discover new pharmacological targets– Predict adverse clinical events– Improve power of genetic studies. •

2 Apr 2014: dactylitis, enthesitis, spondylitis, iritis, lytic and periarticular new bone formation x-ray features.

2 Apr 2014: HLA) found to be associated with PsA. and disease severity•. New Biologic Therapies available. ... Model. Simulation Results. So…. New Multi-state Model Diagram. In Conclusion…. Thank you for your attention!

2 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).

2 Apr 2014: Do this using moment estimators involving Pearson’s residuals or by developing a new set of estimating equations for α. •

2 Apr 2014: New York: Wiley. 8. McCullagh, P. and Nelder, J.A. (1989). Generalized Linear Models. ... New York: Springer-Verlag, 4th Edition. 12. Wedderburn, R.W.M. (1974). Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method.

2 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.