Projects per year
Model-based meta-analysis (MBMA) is increasingly used in drug development to inform decision making and future trial designs, through the use of complex dose and/or time course models. Network Meta-Analysis (NMA) is increasingly being used by reimbursement agencies to estimate a set of coherent relative treatment effects for multiple treatments that respect the randomization within the trials. However, NMAs typically either consider different doses completely independently or lump them together, with few examples of models for dose. We propose a framework, Model Based Network Meta-Analysis (MBNMA), that combines both approaches, that respects randomization, allows estimation and prediction for multiple agents and a range of doses, using plausible physiological dose-response models. We illustrate our approach with an example comparing the efficacies of triptans for migraine relief. This uses a binary endpoint although we note that the model can be easily modified for other outcome types.
- Network meta-analysis
- model-based meta-analysis
FingerprintDive into the research topics of 'Model-Based Network Meta-Analysis: A Framework for Evidence Synthesis of Clinical Trial Data'. Together they form a unique fingerprint.
- 3 Finished
1/01/15 → 30/09/18
30/11/14 → 30/11/18
- Bristol Medical School (PHS) - Professor in Statistical and Health Economic Modelling
- Bristol Population Health Science Institute
- Health Economics at Bristol
- Health Protection Research Unit (HPRU)
- Multi-parameter Evidence Synthesis Research
- Centre for Academic Primary Care
Person: Academic , Member