Svetlana Cherlin

Svetlana Cherlin

Sir Bobby Robson Foundation Cancer Trials Design Team Biostatistician

Newcastle Clinical Trials Unit

Svetlana Cherlin

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Publications

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Grayling MJ, Bigirumurame T, Cherlin S, Ouma L, Zheng H, Wason J (2020). Innovative trial approaches in immune-mediated inflammatory diseases: Current use and future potential. DOI: 10.21203/rs.3.rs-63613/v1.

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Cherlin S, Lewis MJ, Plant D, Nair N, Goldmann K, Tzanis E, Barnes MR, McKeigue P, Barrett JH, Pitzalis C, Barton A, MATURA Consortium, Cordell HJ (2020). Investigation of genetically regulated gene expression and response to treatment in rheumatoid arthritis highlights an association between IL18RAP expression and treatment response. Ann Rheum Dis 2021; 79:1446-52.

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Cherlin S, Wason JMS (2020). Developing and testing high-efficacy patient subgroups within a clinical trial using risk scores. Stat Med 2020; 39:3285-98.

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Cherlin S, Wason JMS (2020). Developing a predictive signature for two trial endpoints using the cross-validated risk scores method. arXiv 2020; arXiv:2007.01680.

Castellucci LC, Almeida L, Cherlin C, Fakiola M, Carvalho E, Figueiredo AB, Cavalcanti CM, Alves NS, Dutra WO, Gollob KJ, Cordell HJ, Blackwell JM (2020). A genome-wide association study highlights a regulatory role for IFNG-AS1 contributing to cutaneous leishmaniasis in Brazil. bioRxiv 2020; doi:10.1101/2020.01.13.903989.

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Heaps S, Nye T, Boys R, Williams T, Cherlin S, Embley M (2019). Generalizing rate heterogeneity across sites in statistical phylogenetics. Stat Model 2019.

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Cherlin S, Plant D, Taylor JC, Colombo M, Spiliopoulou A, Tzanis E, Morgan AW, Barnes MR, McKeigue P, Barrett JH, Pitzalis C, Barton A, MATURA Consortium, Cordell HJ (2018). Prediction of treatment response in rheumatoid arthritis patients using genome-wide SNP data. Genetic Epidemiology 2018; 42:754-71.

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Cherlin S, Wang MH, Bickeboller H, Cantor RM (2018). Detecting responses to treatment with fenofibrate in pedigrees. BMC Genet 2018; 19:64.

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Cherlin S, Howey RAJ, Cordell HJ (2018). Using penalized regression to predict phenotype from SNP data. BMC Proc 2018; 12:38.

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Cherlin S, Heaps S, Nye T, Boys R, Williams T, Embley M (2017). The effect of nonreversibility on inferring rooted phylogenies. Mol Biol Evol 2018; 35:984-1002.

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Williams TA, Heaps SE, Cherlin S, Nye TMW, Boys RJ, Embley TM (2015). New substitution models for rooting phylogenetic trees. Philos T Roy Soc B 2015; 370:20140336.

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