Hire a statistician with academic research experience

hire a statistician freelance medical statistician UK dissertation

I am freelance medical statistician based in Bristol (UK) offering consultancy services online in all statistical aspect of data analysis

I am a Research Associate (Statistician) at the University of Bristol, and previously I worked as Statistician in Centre for the Prevention of Stroke and Dementia, University of Oxford. I hold masters in Medical Statistics from the University of Leicester where I also hold specialization in Genetic Epidemiology. I am also John Henry Brookes Scholar of Oxford Brookes University.

I have extensive experience in analysing longitudinal, time to event data from epidemiological studies. As a mix of both, theoretical and applied Statistician, I thrive to explore and apply novel statistical methods to data of various types. Most recently, this has included the implementation of multivariate time series models to explore the relationship between multiple time-series. My other interests are clinical trial design and analysis, survival analysis, mixed models and analysis of data-set with statistical complexities(i.e. with missing data, sparse or unbalanced). I am a proud R user and experienced in analysing data with STATA, WinBUGS, StatXact, and MLWin.

I am fully registered with our professional body Royal Statistical Society (RSS) UK (RSS Registration number 125676). I advice you to check if you are looking to hire a statistician online for your research project.

I aim to provide reliable and accessible freelance statistical consultancy service at affordable rates

To learn more about me, please take a look at my web site or send me a message to find out how can we work together.

Data analysis with robust statistical methods - Transparent reporting - Academic quality research output

Advice on proposed study or investigation, optimum study design and it’s conduct in context of statistical power and validity

Formulating statistical analysis plan, choice of methods and interpretation

Advice on data collection methods, randomisation plans, sample size and power calculation

Survey design and analysis

Advanced statistical modelling in variety of data types - time series, time to event data, Bayesian modelling

Systematic reviews and meta analysis

Data visualisation, publication quaility graphics

Reports for research articles, dissertation, PhD thesis or abstract

The views and opinions expressed in this site are those of the author and do not necessarily reflect the official policy or position of any university or author’s past or current employer