From: adrian.dunne

Date: Tue, 20 Jan 2015 17:04:45 -0000

TACA TRAINING www.tacatraining.com

PHARMACOMETRIC STATISTICS WORKSHOP

Registration is now open for this 3 day workshop to be held from 29th

September to 1st October 2015 in Dublin, Ireland.

The aim of this 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.

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), 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.

Thank you very much for your attention.

Adrian Dunne

Received on Tue Jan 20 2015 - 12:04:45 EST

Date: Tue, 20 Jan 2015 17:04:45 -0000

TACA TRAINING www.tacatraining.com

PHARMACOMETRIC STATISTICS WORKSHOP

Registration is now open for this 3 day workshop to be held from 29th

September to 1st October 2015 in Dublin, Ireland.

The aim of this 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.

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), 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.

Thank you very much for your attention.

Adrian Dunne

Received on Tue Jan 20 2015 - 12:04:45 EST