TACA TRAINING www.tacatraining.com Following the success of our workshops on the modelling, analysis and simulation of categorical data, we are very pleased to announce our new 3 day workshop entitled
PHARMACOMETRIC STATISTICS which will be held for the first time from 2nd to 4th October 2013 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 in ference. 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 intervals and 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, the hierarchical and marginal likelihoods. 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. 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 strictly limited. Adrian Dunne (adrian.du...@tacatraining.com)