Taca Training Workshop

2 messages 2 people Latest: Jan 17, 2014

Taca Training Workshop

From: Adrian Dunne Date: January 17, 2014 event
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] **************************************

Re: Taca Training Workshop

From: Paul Hutson Date: January 17, 2014 event
Users: FWIW, this is an excellent workshop. I took it last year, and wish I had been able to take something like it decades ago. Venue is convenient to Dublin, too. Paul
Quoted reply history
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