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Embracing Human Complexity in Clinical Research
As clinical trials become more diverse, patient heterogeneity, placebo responses, and inter-site variability become more pronounced, contributing to high rates of failed trials and extended development timelines…
Leveraging Historical Data For High-dimensional Regression Adjustment, A Machine Learning Approach
Samuel Branders, Ph.D., Data Mining and Statistical Research Scientist of Tools4Patient (T4P) recently presented cutting-edge research at the 2018 Promoting Statistical Insight conference in Amsterdam.
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…
The Characterization of Individual Patient Placebo Response: Impact on the Clinical Study Power
Learn about the Placebell©™ method, its development in chronic pain., and how it can be easily implemented to increase study power and de-risk clinical trials.
Video Interview at Partnerships in Clinical Trials, Europe 2017
Dominique Demolle, CEO speaks with Andy Burrows of PCT TV about the early vision and development of Placebell©™ at Partnerships in Clinical Trials, Europe
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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