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Mohammed Baragilly

Showing results (1-10 of 9) with videos related to

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Statistical Methods in Medical Research|January 7, 2022
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studiesMohammed Baragilly, Brian Harvey Willis
NIHR Open Research|September 29, 2025
Study Protocol: A retrospective observational analysis of patients treated for hospital-acquired pneumoniaSamuel Quarton, Mohammed Baragilly, Elizabeth Sapey
The British Journal of General Practice : the Journal of the Royal College of General Practitioners|March 11, 2020
Comparison of Centor and McIsaac scores in primary care: a meta-analysis over multiple thresholdsBrian H Willis, Dyuti Coomar, Mohammed Baragilly
Statistical Methods in Medical Research|November 10, 2021
Clustering functional data using forward search based on functional spatial ranks with medical applicationsMohammed Baragilly, Hend Gabr, Brian H Willis
Statistical Methods in Medical Research|June 12, 2019
Maximum likelihood estimation based on Newton-Raphson iteration for the bivariate random effects model in test accuracy meta-analysisBrian H Willis, Mohammed Baragilly, Dyuti Coomar
Journal of Applied Statistics|June 4, 2026
A nonparametric clustering stopping rule based on spatial medianHend Gabr, Brian H Willis, Mohammed Baragilly
Journal of Clinical Epidemiology|October 3, 2018
Tailored meta-analysis: an investigation of the correlation between the test positive rate and prevalenceBrian H Willis, Dyuti Coomar, Mohammed Baragilly
BMC Medical Research Methodology|August 31, 2022
Measuring and exploring mental health determinants: a closer look at co-residents' effect using a multilevel structural equations modelHend Gabr, Mohammed Baragilly, Brian H Willis
Nature Methods|February 10, 2023
A framework for evaluating the performance of SMLM cluster analysis algorithmsDaniel J Nieves, Jeremy A Pike, Florian Levet, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Statistical Methods in Medical Research|January 7, 2022
On estimating a constrained bivariate random effects model for meta-analysis of test accuracy studiesMohammed Baragilly, Brian Harvey Willis
NIHR Open Research|September 29, 2025
Study Protocol: A retrospective observational analysis of patients treated for hospital-acquired pneumoniaSamuel Quarton, Mohammed Baragilly, Elizabeth Sapey
The British Journal of General Practice : the Journal of the Royal College of General Practitioners|March 11, 2020
Comparison of Centor and McIsaac scores in primary care: a meta-analysis over multiple thresholdsBrian H Willis, Dyuti Coomar, Mohammed Baragilly
Statistical Methods in Medical Research|November 10, 2021
Clustering functional data using forward search based on functional spatial ranks with medical applicationsMohammed Baragilly, Hend Gabr, Brian H Willis
Statistical Methods in Medical Research|June 12, 2019
Maximum likelihood estimation based on Newton-Raphson iteration for the bivariate random effects model in test accuracy meta-analysisBrian H Willis, Mohammed Baragilly, Dyuti Coomar
Journal of Applied Statistics|June 4, 2026
A nonparametric clustering stopping rule based on spatial medianHend Gabr, Brian H Willis, Mohammed Baragilly
Journal of Clinical Epidemiology|October 3, 2018
Tailored meta-analysis: an investigation of the correlation between the test positive rate and prevalenceBrian H Willis, Dyuti Coomar, Mohammed Baragilly
BMC Medical Research Methodology|August 31, 2022
Measuring and exploring mental health determinants: a closer look at co-residents' effect using a multilevel structural equations modelHend Gabr, Mohammed Baragilly, Brian H Willis
Nature Methods|February 10, 2023
A framework for evaluating the performance of SMLM cluster analysis algorithmsDaniel J Nieves, Jeremy A Pike, Florian Levet, et al.
Pageof 1