Mohammed Baragilly
Overview
Explore the profile of Mohammed Baragilly including associated specialties, affiliations and a list of published articles.
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8
Citations
47
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0
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Recent Articles
1.
Nieves D, Pike J, Levet F, Williamson D, Baragilly M, Oloketuyi S, et al.
Nat Methods
. 2023 Feb;
20(2):259-267.
PMID: 36765136
Single-molecule localization microscopy (SMLM) generates data in the form of coordinates of localized fluorophores. Cluster analysis is an attractive route for extracting biologically meaningful information from such data and has...
2.
Gabr H, Baragilly M, Willis B
BMC Med Res Methodol
. 2022 Aug;
22(1):236.
PMID: 36045347
Objective: Previous research has demonstrated that individual risk of mental illness is associated with individual, co-resident, and household risk factors. However, modelling the overall effect of these risk factors presents...
3.
Baragilly M, Willis B
Stat Methods Med Res
. 2022 Jan;
31(2):287-299.
PMID: 34994667
Tailored meta-analysis uses setting-specific knowledge for the test positive rate and disease prevalence to constrain the possible values for a test's sensitivity and specificity. The constrained region is used to...
4.
Baragilly M, Gabr H, Willis B
Stat Methods Med Res
. 2021 Nov;
31(1):47-61.
PMID: 34756132
Cluster analysis of functional data is finding increasing application in the field of medical research and statistics. Here we introduce a functional version of the forward search methodology for the...
5.
Willis B, Coomar D, Baragilly M
Br J Gen Pract
. 2020 May;
70(695):279.
PMID: 32467198
No abstract available.
6.
Willis B, Coomar D, Baragilly M
Br J Gen Pract
. 2020 Mar;
70(693):e245-e254.
PMID: 32152041
Background: Centor and McIsaac scores are both used to diagnose group A beta-haemolytic streptococcus (GABHS) infection, but have not been compared through meta-analysis. Aim: To compare the performance of Centor...
7.
Willis B, Baragilly M, Coomar D
Stat Methods Med Res
. 2019 Jun;
29(4):1197-1211.
PMID: 31184270
A bivariate generalised linear mixed model is often used for meta-analysis of test accuracy studies. The model is complex and requires five parameters to be estimated. As there is no...
8.
Willis B, Coomar D, Baragilly M
J Clin Epidemiol
. 2018 Oct;
106:1-9.
PMID: 30278213
Background And Objective: Meta-analysis may produce estimates that are unrepresentative of a test's performance in practice. Tailored meta-analysis (TMA) circumvents this by deriving an applicable region for the practice and...