Victoria Y Strauss

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.