The use of a predictive statistical model to make a virtual control arm for a clinical trial.
Jeffrey M SwitchenkoArielle L HeekeTony C PanWilliam L ReadPublished in: PloS one (2019)
This project proves that a statistical model can predict the outcome of clinical trial participants treated with SOC. In some circumstances, a predictive model could be used instead of a control arm, allowing all participants to receive experimental treatment. Predictive models for cancer and other diseases could be constructed using the vast amount of outcomes data available to the federal government, and made available for public use.
Keyphrases
- clinical trial
- healthcare
- open label
- squamous cell carcinoma
- study protocol
- type diabetes
- papillary thyroid
- phase ii
- mental health
- wastewater treatment
- emergency department
- electronic health record
- big data
- young adults
- machine learning
- quality improvement
- insulin resistance
- weight loss
- deep learning
- combination therapy
- replacement therapy
- glycemic control