Harry Parr (The Institute of Cancer Research): Development of Clinical Dynamic Prediction Models to Characterise Prognosis of Localised Prostate Cancer Patients
Using shared-parameter joint models on the CHHiP patients to predict prognosis, providing insights into response to treatment and likelihood of reoccurrence to create bespoke treatment plans.
Lexy Sorrell (Centre for Mathematical Sciences, University of Plymouth): Analysis of renal transplant survival data using copula-based modelling and the restricted mean survival time
The difference restricted mean survival time provides the comparison between survival in patients in the time scale compared to the standard risk scale, this may be more intuitive for patients and clinicians. We compare survival between living and deceased donor recipients of renal transplants and quantify the association between survival endpoints using copulas.
Ben Jones (Faculty of Health, University of Plymouth / PenARC): Information borrowing from pilot data in Cluster Randomised Controlled Trials using Bayesian Power Priors
Development of methodology to adaptively borrow information from historical data to improve analysis, and facilitate efficient design of cluster trials.
Harry Parr (The Institute of Cancer Research)
Lexy Sorrell (Centre for Mathematical Sciences, University of Plymouth)
Ben Jones (Faculty of Health, University of Plymouth / PenARC)
Joint Impact Lab and RSS South West Local Group Meeting
Contact: Yinghui Wei