Maria Vazquez Montes

My current research interest focus on diagnostic, prognostic and risk prediction modelling. I disseminate good practice, create examples of methodologically sound model developments and validations, critically appraise existing models, and apply recent meta-analysis methods to summarize their prediction performance.

Current projects

Recurrent urinary tract infection affects a large number of women impacting their lives, from experiencing severe symptoms to relationship difficulties and systemic illness. I am using big data (Clinical Practice Research Datalink (CPRD) and Infections in Oxfordshire Research Database (IORD)) to help improving the diagnosis and management of this condition in women 16 and older.

I am also using CPRD and QResearch data to develop and validate a risk prediction model for incident heart failure, a major public health problem with rising prevalence, particularly in the elderly.

Expertise

I have provided statistical expertise in medical studies in mental health, online learning, ophthalmology, chronic diseases (diabetes, kidney disease, cancer), and heart failure, using a variety of statistical methods (e.g. statistical control process, latent class analysis, multilevel modelling, propensity score methods, survival analysis, meta-analysis).

My teaching experience includes coordinating the online module Introduction to Statistics for Health Care Research on the Oxford Postgraduate Programme in Evidence-Based Health Care, and tutoring for modules in the MSc in EBHC Medical Statistics. I am a Stipendiary Lecturer in Human Sciences for St Hugh's College.

Biography

Before joining the Nuffield Department of Primary Care Health Sciences in 2008, I completed a PhD in Statistics at the University of Warwick (UK), a MSc in Statistics at Centro de Investigación en Matemáticas/Universidad de Guanajuato (Mexico), and a BSc in Mathematics at the Universidad de Yucatan (Mexico).