Victoria Y Strauss
BA, MSc, PhD
Lead Statistician
Statistician who believes "No one size fits all"-interested in methods that account for heterogeneity in pharamacoepidemiology
I am an Statistician using routinely collected big health data to understand the epidemiology of musculoskeletal and ageing related conditions. I provide statistical support in the lifecycle of epidemiological studies using routinely collected data and oversee junior researchers in the pharmaco- and device epidemiology group.
I am in particular interested in latent variable modelling and longitudinal data analysis. These methods believe that "No one size fit all" and heterogeneity is the norms rather than the exception. I applied these methods to identify outcome prognosis, e.g. to identify sub-populations of multimorbidity trajectories using routinely collected big health data. I also have applied these methods to define exposure trajectories, e.g. back pain prognostic trajectories. See my publications for records. I recently have conducted on an application (BisCK) in examining the drug utilisation and presented in the ICPE conference.
I previously have worked as Senior Trial Statistician for 4 years in the CSM where I provided statistical support for cancer projects, predominately trials, including study design, trial set-up, active trial running, analysis and dissemination.
I serve as an independent statistician on data monitoring and safety committees and trial oversight committees.I regularly provide statistical review of NIHR grants and reports and of peer-reviewed journal articles.
Before joining the Centre for Statistics in Medicine in 2014, I worked as a Research Fellow in the Department of Psychology, University of Warwick, and as a Research Associate in Biostatistics at the Arthritis Research UK Primary Care Centre, Keele University.
I obtained a BA degree in Statistics from Fu-Jen Catholic University, Taiwan in 2003, and an MSc degree in Applied Social Statistics from Lancaster University in 2007. I was awarded my PhD in latent variable modelling of general practice patient records (funded by the NIHR and Arthritis Research UK Primary Care Centre) in 2011 from Keele University.
Key publications
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Journal article
Strauss VY. et al, (2012), Rheumatology (oxford), 51, 2075 - 2082
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Strauss VY. et al, (2014), J clin epidemiol, 67, 1163 - 1171
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Jaekel J. et al, (2015), Developmental medicine and child neurology, 57, 652 - 659
Recent publications
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Journal article
Robinson DE. et al, (2021), Health technol assess, 25, 1 - 106
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Robinson DE. et al, (2020), J bone miner res
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Kotecha D. et al, (2020), Jama, 324, 2497 - 2508
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Muirhead R. et al, (2020), Clin oncol (r coll radiol), 32, 874 - 883
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Journal article
Radojčić MR. et al, (2020), Pain, 161, 2841 - 2851