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Browsing publications by Dr Svetlana Cherlin.

Newcastle AuthorsTitleYearFull text
Dr Nina Wilson
Tara Homer
Laura Simms
Dr Alison Steel
Rebecca Maier
et al.
Dual bronchodilators in Bronchiectasis study (DIBS): protocol for a pragmatic, multicentre, placebo-controlled, three-arm, double-blinded, randomised controlled trial studying bronchodilators in preventing exacerbations of bronchiectasis2023
Dr Svetlana Cherlin
Professor Heather Cordell
A Genome-wide Association Study Identifies SERPINB10, CRLF3, STX7, LAMP3, IFNG-AS1, and KRT80 As Risk Loci Contributing to Cutaneous Leishmaniasis in Brazil2021
Dr Svetlana Cherlin
Professor James Wason
Developing a predictive signature for two trial endpoints using the cross-validated risk scores method2021
Dr Michael Grayling
Dr Theophile Bigirumurame
Dr Svetlana Cherlin
Luke Ouma
Dr Haiyan Zheng
et al.
Innovative trial approaches in immune-mediated inflammatory diseases: current use and future potential2021
Dr Svetlana Cherlin
Professor James Wason
Multi-arm Trial of Inflammatory Signal Inhibitors (MATIS) for hospitalised patients with mild or moderate COVID-19 pneumonia: a structured summary of a study protocol for a randomised controlled trial2021
Dr Svetlana Cherlin
Professor James Wason
Developing and testing high‐efficacy patient subgroups within a clinical trial using risk scores2020
Dr Sarah Heaps
Dr Tom Nye
Professor Richard Boys
Dr Svetlana Cherlin
Emeritus Professor T. Martin Embley FMedSci FRS
et al.
Generalizing rate heterogeneity across sites in statistical phylogenetics2020
Dr Svetlana Cherlin
Professor Heather Cordell
Investigation of genetically-regulated gene expression and response to treatment in rheumatoid arthritis highlights an association between IL18RAP expression and treatment response2020
Dr Svetlana Cherlin
Detecting responses to treatment with fenofibrate in pedigrees2018
Dr Svetlana Cherlin
Professor Heather Cordell
Prediction of treatment response in rheumatoid arthritis patients using genome‐wide SNP data2018
Dr Svetlana Cherlin
Dr Sarah Heaps
Dr Tom Nye
Professor Richard Boys
Emeritus Professor T. Martin Embley FMedSci FRS
et al.
The effect of nonreversibility on inferring rooted phylogenies2018
Dr Svetlana Cherlin
Dr Richard Howey
Professor Heather Cordell
Using penalized regression to predict phenotype from SNP data2018
Dr Tom Williams
Dr Sarah Heaps
Dr Svetlana Cherlin
Dr Tom Nye
Professor Richard Boys
et al.
New substitution models for rooting phylogenetic trees2015