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T Jaki

Showing results (1-10 of 10) with videos related to

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Statistics in Medicine|August 5, 2010
Direct effects testing: a two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary responseM Sperrin, T Jaki
Biometrics|March 27, 2026
Making all pairwise comparisons in multi-arm clinical trials without control treatmentT Burnett, T Jaki
Statistics in Medicine|November 1, 2012
Considerations on covariates and endpoints in multi-arm multi-stage clinical trials selecting all promising treatmentsT Jaki, D Magirr
Communications in Statistics: Simulation and Computation|December 4, 2023
Using biomarkers to allocate patients in a response-adaptive clinical trialH Jackson, S Bowen, T Jaki
Statistics in Medicine|May 15, 2014
Flexible sequential designs for multi-arm clinical trialsD Magirr, N Stallard, T Jaki
Journal of Applied Statistics|April 8, 2020
Loss functions in restricted parameter spaces and their Bayesian applicationsP Mozgunov, T Jaki, M Gasparini
Biometrika|March 29, 2016
Simultaneous confidence intervals that are compatible with closed testing in adaptive designsD Magirr, T Jaki, M Posch, et al.
The International Journal of Tuberculosis and Lung Disease : the Official Journal of the International Union Against Tuberculosis and Lung Disease|May 7, 2015
Adaptive clinical trials in tuberculosis: applications, challenges and solutionsG R Davies, P P J Phillips, T Jaki
Laboratory Animals|May 29, 2010
Optimization, refinement and reduction of murine in vivo experiments to assess therapeutic approaches for haemophilia AB Baumgartner, T Jaki, M J Wolfsegger, et al.
Pharmaceutical Statistics|July 10, 2018
A proposal for a new PhD level curriculum on quantitative methods for drug developmentT Jaki, A Gordon, P Forster, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Statistics in Medicine|August 5, 2010
Direct effects testing: a two-stage procedure to test for effect size and variable importance for correlated binary predictors and a binary responseM Sperrin, T Jaki
Biometrics|March 27, 2026
Making all pairwise comparisons in multi-arm clinical trials without control treatmentT Burnett, T Jaki
Statistics in Medicine|November 1, 2012
Considerations on covariates and endpoints in multi-arm multi-stage clinical trials selecting all promising treatmentsT Jaki, D Magirr
Communications in Statistics: Simulation and Computation|December 4, 2023
Using biomarkers to allocate patients in a response-adaptive clinical trialH Jackson, S Bowen, T Jaki
Statistics in Medicine|May 15, 2014
Flexible sequential designs for multi-arm clinical trialsD Magirr, N Stallard, T Jaki
Journal of Applied Statistics|April 8, 2020
Loss functions in restricted parameter spaces and their Bayesian applicationsP Mozgunov, T Jaki, M Gasparini
Biometrika|March 29, 2016
Simultaneous confidence intervals that are compatible with closed testing in adaptive designsD Magirr, T Jaki, M Posch, et al.
The International Journal of Tuberculosis and Lung Disease : the Official Journal of the International Union Against Tuberculosis and Lung Disease|May 7, 2015
Adaptive clinical trials in tuberculosis: applications, challenges and solutionsG R Davies, P P J Phillips, T Jaki
Laboratory Animals|May 29, 2010
Optimization, refinement and reduction of murine in vivo experiments to assess therapeutic approaches for haemophilia AB Baumgartner, T Jaki, M J Wolfsegger, et al.
Pharmaceutical Statistics|July 10, 2018
A proposal for a new PhD level curriculum on quantitative methods for drug developmentT Jaki, A Gordon, P Forster, et al.
Pageof 1