Mr Mohammod Mostazir

About me:

I am a Research Fellow in Statistics at the University of Exeter, providing data mining and statistical modelling consultancy across a wide range of departments since 2013. Previously, I worked as a statistician at the University of Plymouth on a childhood diabetes study (2011–2013), and before that as an analyst at City University London and the World Health Organization (WHO) in Bangladesh.

My research focuses on methodological challenges in estimating treatment effects from randomised controlled trials (RCTs), particularly in the presence of intervention non-adherence. I have published several studies in this area and continue to develop and apply robust causal inference methods, including Complier Average Causal Effect (CACE) and instrumental variable approaches. I am also interested in latent class models, unsupervised machine learning, and the use of machine learning to strengthen causal inference in complex trial and observational settings.

I have collaborated extensively with internal and external partners, co-authored numerous peer-reviewed publications, and provided statistical supervision and methodological support for multiple PhD and DClinPsy research projects.

If you are an academic or researcher at the University seeking statistical input for a project with clear outputs (e.g. a grant application or publication), feel free to get in touch. You can also visit my publications page to view the range of studies I have contributed to.

Programming languages: Stata, R, SPSS (primarily to support student work)

Email to: m.mostazir@exeter.ac.uk

MSc in Statistics – City University London, UK
Current PhD (by Publication) – Statistical methods for estimating treatment effect under suboptimal treatment adherence in randomised controlled trials (RCTs)