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
18/01/2024Twenty years of network meta-analysis
Research Synthesis Methods
Unanchored Population-Adjusted Indirect Comparison Methods for Time-to-Event Outcomes Using Inverse Odds Weighting, Regression Adjustment, and Doubly Robust Methods With Either Individual Patient or Aggregate Data
Value in Health
Multilevel network meta-regression: methods and implementation
Antidepressants for pain management in adults with chronic pain
Cochrane Database of Systematic Reviews
Transportability of two heart failure trials to a disease registry using individual patient data
Journal of Clinical Epidemiology
Thesis
Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data
Supervisors
Award date
28/11/2019