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Michael O'Kelly

Showing results (1-10 of 17) with videos related to

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Statistics in Biopharmaceutical Research|June 30, 2021
Assessing via Simulation the Operating Characteristics of the WHO Scale for COVID-19 EndpointsMichael O'Kelly, Siying Li
Pharmaceutical Statistics|March 22, 2016
Sensitivity to censored-at-random assumption in the analysis of time-to-event endpointsIlya Lipkovich, Bohdana Ratitch, Michael O'Kelly
Pharmaceutical Statistics|January 8, 2013
Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture modelsBohdana Ratitch, Michael O'Kelly, Robert Tosiello
Pharmaceutical Statistics|November 4, 2016
Proposed best practice for projects that involve modelling and simulationMichael O'Kelly, Vladimir Anisimov, Chris Campbell, et al.
Therapeutic Innovation & Regulatory Science|September 20, 2018
Life Cycle Modeling and Simulation: Current Practice and Future Impact on Health Care Innovation and DeliveryMichael O'Kelly, Seth Berry, Davis Walp, et al.
Therapeutic Innovation & Regulatory Science|September 22, 2018
Rheumatoid Arthritis Disease Progression ModelingRussell Reeve, Lei Pang, Bradley Ferguson, et al.
Journal of Biopharmaceutical Statistics|March 18, 2017
Use of statistical and pharmacokinetic-pharmacodynamic modeling and simulation to improve decision-making: A section summary report of the trends and innovations in clinical trial statistics conferenceHolly Kimko, Seth Berry, Michael O'Kelly, et al.
Pharmaceutical Statistics|February 27, 2010
Proposed best practice for statisticians in the reporting and publication of pharmaceutical industry-sponsored clinical trialsJames Matcham, Steven Julious, Stephen Pyke, et al.
Therapeutic Innovation & Regulatory Science|May 27, 2023
Defining Clinical Trial Estimands: A Practical Guide for Study Teams with Examples Based on a Psychiatric DisorderElena Polverejan, Michael O'Kelly, Nanco Hefting, et al.
Pharmaceutical Statistics|January 29, 2011
The potential for bias in reporting of industry-sponsored clinical trialsStephen Pyke, Steven A Julious, Simon Day, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Statistics in Biopharmaceutical Research|June 30, 2021
Assessing via Simulation the Operating Characteristics of the WHO Scale for COVID-19 EndpointsMichael O'Kelly, Siying Li
Pharmaceutical Statistics|March 22, 2016
Sensitivity to censored-at-random assumption in the analysis of time-to-event endpointsIlya Lipkovich, Bohdana Ratitch, Michael O'Kelly
Pharmaceutical Statistics|January 8, 2013
Missing data in clinical trials: from clinical assumptions to statistical analysis using pattern mixture modelsBohdana Ratitch, Michael O'Kelly, Robert Tosiello
Pharmaceutical Statistics|November 4, 2016
Proposed best practice for projects that involve modelling and simulationMichael O'Kelly, Vladimir Anisimov, Chris Campbell, et al.
Therapeutic Innovation & Regulatory Science|September 20, 2018
Life Cycle Modeling and Simulation: Current Practice and Future Impact on Health Care Innovation and DeliveryMichael O'Kelly, Seth Berry, Davis Walp, et al.
Therapeutic Innovation & Regulatory Science|September 22, 2018
Rheumatoid Arthritis Disease Progression ModelingRussell Reeve, Lei Pang, Bradley Ferguson, et al.
Journal of Biopharmaceutical Statistics|March 18, 2017
Use of statistical and pharmacokinetic-pharmacodynamic modeling and simulation to improve decision-making: A section summary report of the trends and innovations in clinical trial statistics conferenceHolly Kimko, Seth Berry, Michael O'Kelly, et al.
Pharmaceutical Statistics|February 27, 2010
Proposed best practice for statisticians in the reporting and publication of pharmaceutical industry-sponsored clinical trialsJames Matcham, Steven Julious, Stephen Pyke, et al.
Therapeutic Innovation & Regulatory Science|May 27, 2023
Defining Clinical Trial Estimands: A Practical Guide for Study Teams with Examples Based on a Psychiatric DisorderElena Polverejan, Michael O'Kelly, Nanco Hefting, et al.
Pharmaceutical Statistics|January 29, 2011
The potential for bias in reporting of industry-sponsored clinical trialsStephen Pyke, Steven A Julious, Simon Day, et al.
Pageof 2