activity
20172023
most citedMixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study

32 citations · 74 across the 9 of their papers we have counts for

collaborators
Showing stat.APShow all

5 papers · 1 filter

stat.AP2022★ 10 cited

Bridging disconnected networks of first and second lines of biologic therapies in rheumatoid arthritis with registry data: Bayesian evidence synthesis with target trial emulation

Sylwia Bujkiewicz, Janharpreet Singh, Lorna Wheaton +4

Objective: We aim to utilise real world data in evidence synthesis to optimise an evidence base for the effectiveness of biologic therapies in rheumatoid arthritis in order to allo…

stat.AP2020

Use of copula to model within-study association in bivariate meta-analysis of binomial data at the aggregate level a Bayesian approach and application to surrogate endpoint evaluation

Tasos Papanikos, John R Thompson, Keith R Abrams +1

Bivariate meta-analysis provides a useful framework for combining information across related studies and has been utilised to combine evidence from clinical studies to evaluate tre…

stat.AP2019★ 1 cited

The use of registry data to extrapolate overall survival results from randomised controlled trials

Reynaldo Martina, Keith Abrams, Sylwia Bujkiewicz +5

Background: Pre-marketing authorisation estimates of survival are generally restricted to those observed directly in randomised controlled trials (RCTs). However, for regulatory an…

stat.AP2018★ 5 cited

Methods for the inclusion of real world evidence in network meta-analysis

David Jenkins, Humaira Hussein, Reynaldo Martina +3

Background: Network Meta-Analysis (NMA) is a key component of submissions to reimbursement agencies world-wide, especially when there is limited direct head-to-head evidence for mu…

stat.AP2017★ 8 cited

Bayesian multi-parameter evidence synthesis to inform decision-making: a case study in hormone-refractory metastatic prostate cancer

Sze Huey Tan, Keith R Abrams, Sylwia Bujkiewicz

In health technology assessment, decisions are based on complex cost-effectiveness models which, to be implemented, require numerous input parameters. When some of relevant estimat…