Research output per year
Research output per year
Abstract
Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using Stan.
| Original language | English |
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| DOIs | |
| Publication status | Published - 30 Jun 2020 |
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Dive into the research topics of 'multinma: Bayesian Network Meta-Analysis of Individual and Aggregate Data'. Together they form a unique fingerprint.Research output
- 1 Article (Academic Journal)
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Multilevel Network Meta-Regression for population-adjusted treatment comparisons
Phillippo, D. M., Dias, S., Ades, A. E., Belger, M., Brnabic, A., Schacht, A., Saure, D., Kadziola, Z. & Welton, N. J., 18 Jun 2020, In: Journal of the Royal Statistical Society: Series A. 183, 3, p. 1189-1210 22 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile10 Citations (Scopus)67 Downloads (Pure)
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8071 MRC via York - HOD1: Inferring relative treatment effects from combined randomised and oberservational data
1/01/19 → 30/06/22
Project: Research
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No Pfizer: Calibration of multiple treatment comparisons using individual patient data
1/03/17 → 29/02/20
Project: Research
Student Theses
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Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data
Author: Phillippo, D. M., 28 Nov 2019Supervisor: Welton, N. (Supervisor) & Dias, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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