Oxford statisticians advising on models for improving access to treatment
A company in the international pharmaceutical sector required the advice of our statisticians on options to address the unmet needs of vulnerable patients.
These are patients who may experience periods of lack of resources, and so either forego treatment, or compensate for spending on drugs and treatment with savings on other basic needs.
We have provided feedback and advice on data requirements and appropriate statistical models to measure treatment affordability, to identify groups to target for additional support, and to measure changes in affordability over time. We have also provided ad-hoc inputs on the predictive modelling of the appearance of symptoms of a disease, using frequentist statistical methods as well as machine learning approaches.
