Re: Taca Training Workshop

On 1/17/2014 4:55 AM, Adrian Dunne wrote: > TACA TRAINING www.tacatraining.com > > PHARMACOMETRIC STATISTICS > > Registration is now open for this 3 day workshop to be held from > 8th to 10th October 2014 in Dublin, Ireland. > > The aim of this 3 day workshop is to give pharmacometricians a good > understanding of the statistical concepts upon which their work is > based and which are of great importance in everything they do. The > emphasis will be on concepts with an absolute minimum of mathematical > details. Attendees need only have studied statistics at foundation > level prior to taking this course. The topics covered include; > > 1) Why use statistics? > > 2) Probability and statistical inference. > > 3) Laws of probability and Bayes theorem. > > 4) Univariate probability distributions – Expected value and variance. > > 5) Multivariate probability distributions – joint, marginal and > conditional distributions. The covariance matrix. Independence and > conditional independence. > > 6) Modelling, estimation, estimators, sampling distributions, bias, > efficiency, standard error and mean squared error. Consistency. > > 7) Point and interval estimators. Confidence intervals. > > 8) Hypothesis testing, null and alternative hypotheses. P-value, Type > I and type II errors and power. > > 9) Likelihood inference, maximum likelihood estimator (MLE), > likelihood ratio. BQL and censored data. > > 10) Minimal sufficiency and invariance of the likelihood ratio and the MLE. > > 11) The score function, hessian, Fisher information, quadratic > approximation and standard error. > > 12) Wald confidence intervals and hypothesis tests. > > 13) Likelihood ratio tests. > > 14) Profile likelihood, nested models. > > 15) Model selection, Akaike and Bayesian Information Criteria (AIC & BIC). > > 16) Maximising the likelihood, Newton’s method. > > 17) Mixed effects models. > > 18) Estimation of the fixed effects, conditional independence, prior > and posterior distributions. > > 19) Approximating the integrals, Laplace and first order (FO & FOCE) > approximations, numerical quadrature. > > 20) The Expectation Maximisation (EM) algorithm. > > 21) Estimating the random effects, empirical bayes estimates (EBE) and > shrinkage. > > 22) Asymptotic properties of the MLE, efficiency, the Cramer-Rao Lower > Bound (CRLB), consistency, normality. > > 23) Robustness of the MLE, the Kullback-Liebler distance. Quasi > likelihood and the robust or sandwich variance estimator. > > 24) Time to event (survival) analysis. Survivor and Hazard functions. > > 25) Kaplan-Meier plots. Log-rank and Wilcoxon tests. > > 26) Parametric and semi-parametric proportional hazards models. > > 27) Partial and full likelihood inference. > > For further details and to register please go to our website > www.tacatraining.com > > Early registration is advised because the number of places is limited. > > Adrian Dunne > > ********************************** > Taca Training > > Advanced Training Workshops > for the Pharmaceutial Industry > > 6 The Avenue, Woodpark, Ballinteer, Dublin 16, Ireland. > Phone +353-(0)1-2986843 > Mobile +353-(0)86-0407504 > > www.tacatraining.com > [email protected] > > ************************************** -- Paul R. Hutson, Pharm.D. Professor Senior Associate Dean for Academic Affairs UW School of Pharmacy T: 608.263.2496 F: 608.265.5421