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 prior to that, as an analyst at City University London and at the World Health Organization (WHO) in Bangladesh.

My research interests focus on methodological issues in estimating treatment effects from randomised controlled trials (RCTs), especially in the context of intervention non-adherence. I have published several studies addressing this challenge and continue to explore robust causal inference methods, including Complier Average Causal Effect (CACE) and instrumental variable techniques. I am also interested in latent class models, unsupervised machine learning, and the use of machine learning methods to strengthen causal inference in complex trial and observational settings.

Over the years, I have collaborated with internal and external partners on a wide range of research projects, co-authored numerous publications, and provided statistical supervision and support to multiple PhD and DClinPsy research studies.

If you are an academic or researcher at the University seeking statistical input for a project with clear outputs (e.g. grant submission, 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)