Projects per year
Nicky's research interests concern methodology for evidence synthesis, and use of evidence in decision modelling. This includes methods for synthesis of studies informing Markov model parameters, synthesis of evidence on components of complex interventions, bias adjustment in pairwise and network meta-analysis, allowing for uncertainty due to missing data, extrapolation of survival curves, and combining evidence with heterogeneously reported (but related) outcomes. She has also worked on methods and applications of Value of Information calculations that can be used to prioritise and design new research by comparing the expected benefit in the reduction of uncertainty in the optimal policy decision with the cost of a proposed new study. Nicky leads the Multi-Parameter Evidence Synthesis research group, is Director of the NICE Guidelines Technical Support Unit, associate editor for the journal Medical Decision Making, a Fellow of the Royal Statistical Society, and a member of the NICE Technology Appraisals Committee.
8071 MRC via York - HOD1: Inferring relative treatment effects from combined randomised and oberservational data
1/01/19 → 31/12/21
1/03/17 → 29/02/20
Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation studyPhillippo, D. M., Dias, S., Ades, A. E. & Welton, N. J., 4 Oct 2020, In : Statistics in Medicine.
Research output: Contribution to journal › Article (Academic Journal)Open AccessFile13 Downloads (Pure)
Assessing the performance of population adjustment methods for indirect comparisons: a simulation studyPhillippo, D. M., Dias, S., Ades, A. E. & Welton, N. J., 26 Aug 2020, (Unpublished). 9 p.
Research output: Contribution to conference › Conference PosterFile5 Downloads (Pure)
Bayesian econometric modelling of observational data for cost-effectiveness analysis: Establishing the value of Negative Pressure Wound Therapy in the healing of open surgical woundsSaramago, P., Claxton, K., Welton, N. J. & Soares, M., 16 Jun 2020, (Accepted/In press) In : Journal of the Royal Statistical Society: Series A.
Research output: Contribution to journal › Article (Academic Journal)