> PSI TRAINING COURSE
>
> NONPARAMETRIC METHODS FOR ANALYSING CLINICAL TRIALS
>
> Date 28th and 29th September 2000
>
> Time 10:30 to 18:00 on Day 1 (registration from 10:00)
> 09:00 to 17:30 on Day 2.
>
> Location Oxford Spires Hotel, Oxford, UK
>
>
> This short course will present standard and emerging nonparametric methods
> which are currently being used for the analysis of clinical trial data.
> Emphasis will be on methods which are appropriate for use in today's
> regulatory environment. Familiarity with basic statistical concepts and
> methods (for example multiple linear regression and analysis of variance,
> logistic regression, Mantel-Haenszel tests, proportional hazards
> regression, log rank tests) is required.
>
> The course will be presented by:
>
> Professor Gary G. Koch, University of North Carolina and DeMontfort
> University
> Professor Byron Jones, SmithKline Beecham Pharmaceuticals and University
> College London
>
> Course Fees:
> (Booking on or before 25th July)
> PSI Members £490.00 (+ £85.75 VAT @ 17.5%)
>
> Non Members £515.00 (+ £90.12 VAT @ 17.5%)
>
> (Booking after 25th July)
> PSI Members £590.00 (+ £103.25 VAT@ 17.5%)
> Non Members £615.00 (+ £107.62 VAT@ 17.5%)
>
> The course registration fee includes morning coffee, lunch, afternoon tea,
> dinner and overnight accommodation (with en-suite facilities) on 28th
> September, plus breakfast, morning coffee, lunch and afternoon tea on 29th
> September.
>
> There is an advantageous rate for bookings made on or before July 25th
> 2000, after which date the higher fee will be charged. The closing date
> for registration is August 25th 2000.
>
> A registration form can be obtained from:
>
> PSI Executive Office, Resources for Business, South Park Road,
> MACCLESFIELD, Cheshire SK11 6SH
> Telephone +44 (0)1625 511750 Facsimile +44 (0)1625 267879
>
> to whom the completed form should be returned by post or fax in order to
> reserve a place.
>
>
>
>
> Course Synopsis
>
> DAY 1
>
> The role of nonparametric methods in a regulatory environment: issues and
> examples
>
> Basic nonparametric methods for comparing two matched or independent
> groups: Wilcoxon signed ranks test, Wilcoxon rank sum test, Hodges-Lehman
> confidence intervals, normal approximations and exact methods, PROC
> NPAR1WAY and PROC UNIVARIATE in SAS, StatXact
>
> Nonparametric methods for comparing more than two groups or for stratified
> studies: Kruskal-Wallis tests, Jonckheere tests, Spearman rank correlation
> tests, extended Mantel-Haenszel tests, van-Elteren tests (PROC FREQ in
> SAS)
>
> Practical and discussion: examples for application of basic methods,
> additional strategies for computation with SAS and StatXact
>
> Basic nonparametric methods for repeated measures or multiple endpoints:
> Friedman test, aligned ranks test, O'Brien methods for multiple endpoints,
> PROC FREQ in SAS
>
> DAY 2
>
> Nonparametric analysis of covariance to compare two groups for means of
> continuous variables or scores for categorical variables.
> a. unstratified studies
> b. stratified studies
>
> Practical and discussion: additional examples for application of
> nonparametric methods for repeated measures and nonparametric analysis of
> covariance, strategies for computation via existing procedures in SAS or
> algorithms for matrices.
>
> Nonparametric analysis of covariance for time to event data
> a. logrank and Wilcoxon tests
> b. survival rates and incidence densities
>
> Nonparametric analysis of covariance for ordinal data
> a. log-odds ratios
> b. Mann-Whitney U-statistics
> c. extensions to repeated measures
>
> Nonparametric analysis of covariance for studies with three groups to show
> superiority of test drug to placebo and non-inferiority to active control
>
> Nonparametric analysis of covariance for multigroup studies to evaluate
> dose-response relationships
> a. tests for sets of contrasts
> b. Mann-Whitney U-statistics for quantifying effect sizes
>
> Final review and discussion
>
>
>
>
>
>
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