AI Medical Compendium Journal:
Pharmaceutical statistics

Showing 1 to 3 of 3 articles

What they forgot to tell you about machine learning with an application to pharmaceutical manufacturing.

Pharmaceutical statistics
Predictive models (a.k.a. machine learning models) are ubiquitous in all stages of drug research, safety, development, manufacturing, and marketing. The results of these models are used inside and outside of pharmaceutical companies for the purpose o...

On kernel machine learning for propensity score estimation under complex confounding structures.

Pharmaceutical statistics
Post marketing data offer rich information and cost-effective resources for physicians and policy-makers to address some critical scientific questions in clinical practice. However, the complex confounding structures (e.g., nonlinear and nonadditive ...

Effect of reporting bias in the analysis of spontaneous reporting data.

Pharmaceutical statistics
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adverse drug reactions from the source population. The existing methods do not adjust for such under-reporting for the calculation of measures of associa...