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, Newtons 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
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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
adrian.du...@tacatraining.com
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