| Comparison of Centor and McIsaac scores in primary care: a meta-analysis over multiple thresholds BH Willis, D Coomar, M Baragilly British Journal of General Practice 70 (693), e245-e254, 2020 | 46 | 2020 |
| A framework for evaluating the performance of SMLM cluster analysis algorithms DJ Nieves, JA Pike, F Levet, DJ Williamson, M Baragilly, S Oloketuyi, ... Nature methods 20 (2), 259-267, 2023 | 36 | 2023 |
| Maximum likelihood estimation based on Newton–Raphson iteration for the bivariate random effects model in test accuracy meta-analysis BH Willis, M Baragilly, D Coomar Statistical methods in medical research 29 (4), 1197-1211, 2020 | 15 | 2020 |
| Tailored meta-analysis: an investigation of the correlation between the test positive rate and prevalence BH Willis, D Coomar, M Baragilly Journal of clinical epidemiology 106, 1-9, 2019 | 10 | 2019 |
| Clustering functional data using forward search based on functional spatial ranks with medical applications BHW Mohammed Baragilly, Hend Gabr Statistical Methods in Medical Research, 2021 | 6* | 2021 |
| On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studies M Baragilly, BH Willis Statistical Methods in Medical Research 31 (2), 287-299, 2022 | 5 | 2022 |
| Determining the number of clusters using multivariate ranks M Baragilly, B Chakraborty Recent Advances in Robust Statistics: Theory and Applications, 17-33, 2016 | 4 | 2016 |
| Clinical scores in primary care BH Willis, D Coomar, M Baragilly | 3 | 2024 |
| Clustering multivariate and functional data using spatial rank functions MHH Baragilly University of Birmingham, 2016 | 3 | 2016 |
| Measuring and exploring mental health determinants: a closer look at co-residents’ effect using a multilevel structural equations model H Gabr, M Baragilly, BH Willis BMC Medical Research Methodology 22 (1), 236, 2022 | 2 | 2022 |
| Optimising a coordinate ascent algorithm for the meta-analysis of test accuracy studies M Baragilly, BH Willis bioRxiv, 2022.12. 05.519131, 2022 | 1 | 2022 |
| Measuring the similarity of SMLM-derived point-clouds M Baragilly, DJ Nieves, DJ Williamson, R Peters, DM Owen bioRxiv, 2022.09. 12.507560, 2022 | 1 | 2022 |
| Nano-org, a functional resource for single-molecule localisation microscopy data S Shirgill, DJ Nieves, JA Pike, MA Ahmed, MHH Baragilly, K Savoye, ... bioRxiv, 2024.08. 06.606779, 2024 | | 2024 |
| Clustering analysis of multivariate data M Baragilly, H Gabr, BH Willis | | 2023 |
| Clustering Analysis of Multivariate Data: A Weighted Spatial Ranks‐Based Approach MH Baragilly, H Gabr, BH Willis Journal of Probability and Statistics 2023 (1), 8849404, 2023 | | 2023 |
| Comparison of Centor and McIsaac scores in primary care: a meta-analysis over multiple thresholds.(vol 70, pg e245, 2020) BH Willis, D Coomar, M Baragilly BRITISH JOURNAL OF GENERAL PRACTICE 70 (694), 230-230, 2020 | | 2020 |
| The effects of correlation between the test positive rate and prevalence on tailored meta-analysis BH Willis, D Coomar, M Baragilly Diagnostic and Prognostic Research 2 (12), O37, 2018 | | 2018 |
| Comparison of Centor and McIsaac scores in primary care BH Willis, D Coomar, M Baragilly | | |
