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EM ALGORITHM
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/EM_slides.pdf2 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). -
A Mechanistic Approach to Bioinformatics
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/ISCB28-BrianTom.pdf2 Apr 2014: Why?– In order to inform medical interventions– Help discover new pharmacological targets– Predict adverse clinical events– Improve power of genetic studies. • -
Statistical Methods in Psoriatic Arthritis
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/CSDG2007.pdf2 Apr 2014: dactylitis, enthesitis, spondylitis, iritis, lytic and periarticular new bone formation x-ray features. -
Modelling of Fatigue in PsA
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/Armitage2009-BTom.pdf2 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! -
MODELLING CORRELATED NON-NORMAL DATA
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/Longitudinal_Data_slides.pdf2 Apr 2014: Do this using moment estimators involving Pearson’s residuals or by developing a new set of estimating equations for α. • -
Applied Statistics: Easter Term 2002
https://cscs3.medschl.cam.ac.uk/wp-content/uploads/LDAlecture.pdf2 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.
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