
Dr David Phillippo
PhD, MSc, BSc (Hons)
Current positions
Research Fellow in Evidence Synthesis
Bristol Medical School (PHS)
Contact
Press and media
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Research interests
David's research focuses on methods for evidence synthesis, Bayesian network meta-analysis (NMA), population adjustment, and assessing the impact of bias in clinical guidelines and decision making. He is the author and maintainer of several freely-available R packages, including nmathresh for assessing sensitivity to biased evidence in NMA using threshold analysis, and multinma for performing NMA and multilevel network meta-regression with individual and aggregate data. He is a network member of the NICE Decision Support Unit, and an affiliate member of the NICE Technical Support Unit based in Bristol.
Projects and supervisions
Research projects
Bristol TAG
Role
Co-Investigator
Managing organisational unit
Bristol Medical School (PHS)Dates
01/04/2022 to 31/03/2027
Effective population adjustment in evidence synthesis of randomised controlled trials for health technology assessment
Principal Investigator
Managing organisational unit
Bristol Medical School (PHS)Dates
01/04/2022 to 31/03/2027
Thesis supervisions
Bridging the gap
Supervisors
Publications
Recent publications
03/02/2025Age and sex differences in efficacy of treatments for type 2 diabetes
JAMA
Effect modification and non-collapsibility together may lead to conflicting treatment decisions
Research Synthesis Methods
Treatment recommendations based on Network Meta-Analysis
Research Synthesis Methods
Extending multilevel network meta-regression to disconnected networks and single-arm studies: a case study on plaque psoriasis treatments
Methodologies to adjust for measured confounding in ITC: an overview of population adjustment approaches
Thesis
Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data
Supervisors
Award date
28/11/2019