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Brian Dm Tom

Showing results (1-10 of 8) with videos related to

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Statistical Methods in Medical Research|May 25, 2017
Two-part models with stochastic processes for modelling longitudinal semicontinuous data: Computationally efficient inference and modelling the overall marginal meanSean Yiu, Brian Dm Tom
British Journal of Pharmacology|January 27, 2012
Presenting data: can you follow a recipe?Gordon B Drummond, Brian Dm Tom
Statistical Methods in Medical Research|November 28, 2008
Re-weighted inference about hepatitis C virus-infected communities when analysing diagnosed patients referred to liver clinicsBo Fu, Brian Dm Tom, Sheila M Bird
Statistical Methods in Medical Research|November 9, 2013
A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous dataBrian Dm Tom, Li Su, Vernon T Farewell
Statistical Methods in Medical Research|August 30, 2011
A likelihood-based two-part marginal model for longitudinal semicontinuous dataLi Su, Brian Dm Tom, Vernon T Farewell
Statistical Methods in Medical Research|May 9, 2020
Optimal individualized decision rules from a multi-arm trial: A comparison of methods and an application to tailoring inter-donation intervals among blood donors in the UKYuejia Xu, Angela M Wood, Michael J Sweeting, et al.
Statistical Methods in Medical Research|July 15, 2022
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19Christopher H Jackson, Brian Dm Tom, Peter D Kirwan, et al.
The Lancet. Respiratory Medicine|May 17, 2021
Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UKAnnemarie B Docherty, Rachel H Mulholland, Nazir I Lone, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Statistical Methods in Medical Research|May 25, 2017
Two-part models with stochastic processes for modelling longitudinal semicontinuous data: Computationally efficient inference and modelling the overall marginal meanSean Yiu, Brian Dm Tom
British Journal of Pharmacology|January 27, 2012
Presenting data: can you follow a recipe?Gordon B Drummond, Brian Dm Tom
Statistical Methods in Medical Research|November 28, 2008
Re-weighted inference about hepatitis C virus-infected communities when analysing diagnosed patients referred to liver clinicsBo Fu, Brian Dm Tom, Sheila M Bird
Statistical Methods in Medical Research|November 9, 2013
A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous dataBrian Dm Tom, Li Su, Vernon T Farewell
Statistical Methods in Medical Research|August 30, 2011
A likelihood-based two-part marginal model for longitudinal semicontinuous dataLi Su, Brian Dm Tom, Vernon T Farewell
Statistical Methods in Medical Research|May 9, 2020
Optimal individualized decision rules from a multi-arm trial: A comparison of methods and an application to tailoring inter-donation intervals among blood donors in the UKYuejia Xu, Angela M Wood, Michael J Sweeting, et al.
Statistical Methods in Medical Research|July 15, 2022
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19Christopher H Jackson, Brian Dm Tom, Peter D Kirwan, et al.
The Lancet. Respiratory Medicine|May 17, 2021
Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UKAnnemarie B Docherty, Rachel H Mulholland, Nazir I Lone, et al.
Pageof 1