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Leveraging Historical Data For High-dimensional Covariate-adaptive Randomization, A Machine Learning Approach.
There is a continuous growth in data collected in clinical trials. Many of those patient’s characteristics are potential…
Correcting For The Individual Patient Regression To The Mean Effect
Often, the primary endpoint of RCTs is defined as a change from baseline of a continuous outcome. In…
Putting Patient Uniqueness at the heart of Innovation
Access to innovative therapies remains an issue. In certain diseases, the magnitude and variability of individuals’ placebo response…
Leveraging historical data for high-dimensional regression adjustment, a machine learning approach.
The amount of data collected from patients involved in clinical trials is continuously growing. All those patient’s characteristics…
Baseline Pain Measurements As Predictors Of The Placebo Response In Neuropathic Patients
In analgesia randomized clinical trials (RCTs), the magnitude of the placebo response has a negative influence when testing…
Bayesian Modeling Of The Placebo Response In Neuropathic Pain
In analgesia randomized clinical trials (RCTs), the magnitude and the variability of the placebo response have a negative…
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