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Chris Harbron

Showing results (1-10 of 31) with videos related to

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Statistics in Medicine|June 24, 2010
A flexible unified approach to the analysis of pre-clinical combination studiesChris Harbron
Pharmaceutical Statistics|May 24, 2026
Will the Pharmaceutical Industry Need Statisticians in an AI World?Chris Harbron
Statistical Methods in Medical Research|February 13, 2023
Updating the probability of study success for combination therapies using related combination study dataEmily Graham, Chris Harbron, Thomas Jaki
Journal of Biopharmaceutical Statistics|December 12, 2019
A comparison of stochastic programming methods for portfolio level decision-makingEmily Graham, Thomas Jaki, Chris Harbron
Nature Reviews. Drug Discovery|October 2, 2012
In search of preclinical robustnessIan S Peers, Peter R Ceuppens, Chris Harbron
Bioinformatics (Oxford, England)|July 12, 2007
RefPlus: an R package extending the RMA AlgorithmChris Harbron, Kai-Ming Chang, Marie C South
Pharmaceutical Statistics|October 4, 2022
A meta-analytic framework to adjust for bias in external control studiesDevin Incerti, Michael T Bretscher, Ray Lin, et al.
Statistics in Medicine|June 16, 2024
A multi-arm multi-stage platform design that allows preplanned addition of arms while still controlling the family-wise errorPeter Greenstreet, Thomas Jaki, Alun Bedding, et al.
Nature Medicine|October 11, 2023
Clinical AI tools must convey predictive uncertainty for each individual patientChristopher R S Banerji, Tapabrata Chakraborti, Chris Harbron, et al.
Pharmaceutical Statistics|March 27, 2015
Experimental designs for detecting synergy and antagonism between two drugs in a pre-clinical studyMatthew Sperrin, Helene Thygesen, Ting-Li Su, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Statistics in Medicine|June 24, 2010
A flexible unified approach to the analysis of pre-clinical combination studiesChris Harbron
Pharmaceutical Statistics|May 24, 2026
Will the Pharmaceutical Industry Need Statisticians in an AI World?Chris Harbron
Statistical Methods in Medical Research|February 13, 2023
Updating the probability of study success for combination therapies using related combination study dataEmily Graham, Chris Harbron, Thomas Jaki
Journal of Biopharmaceutical Statistics|December 12, 2019
A comparison of stochastic programming methods for portfolio level decision-makingEmily Graham, Thomas Jaki, Chris Harbron
Nature Reviews. Drug Discovery|October 2, 2012
In search of preclinical robustnessIan S Peers, Peter R Ceuppens, Chris Harbron
Bioinformatics (Oxford, England)|July 12, 2007
RefPlus: an R package extending the RMA AlgorithmChris Harbron, Kai-Ming Chang, Marie C South
Pharmaceutical Statistics|October 4, 2022
A meta-analytic framework to adjust for bias in external control studiesDevin Incerti, Michael T Bretscher, Ray Lin, et al.
Statistics in Medicine|June 16, 2024
A multi-arm multi-stage platform design that allows preplanned addition of arms while still controlling the family-wise errorPeter Greenstreet, Thomas Jaki, Alun Bedding, et al.
Nature Medicine|October 11, 2023
Clinical AI tools must convey predictive uncertainty for each individual patientChristopher R S Banerji, Tapabrata Chakraborti, Chris Harbron, et al.
Pharmaceutical Statistics|March 27, 2015
Experimental designs for detecting synergy and antagonism between two drugs in a pre-clinical studyMatthew Sperrin, Helene Thygesen, Ting-Li Su, et al.
Pageof 4