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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…
The Importance of Patient Psychology in Health and Clinical Research
When we think about patient characteristics that influence health, disease, and clinical research, we tend to think about things like vital statistics, medical history and genetic makeup…
Clinical Trial Statistical Analysis: How to Minimize Noise
The main objective of most clinical trials is to evaluate efficacy and safety of an experimental treatment. To do this, statisticians compare the response of the drug-treated…
The placebo response in drug development. Part 4: Irritable Bowel Disease
As in many other diseases (e.g. pain, osteoarthritis, rheumatoid arthritis, Parkinson’s Disease, etc ), patients participating in clinical trials for IBD treatments may experience a pronounced placebo…
Predict placebo response using patient psychology to increase trial power
Advanced methods like AI and machine learning are uniquely poised to help scientists uncover the full spectrum of patient placebo responsiveness in a clinical trial. Learn more about this approach by attending our webinar, which explains how a solution like Placebell©™ leverages a time-tested predictive…
How to Increase Clinical Study Power with Covariate Adjustment
Adjustment for covariates helps clinical trial statisticians demonstrate differences in drug effect between groups of people. In this blog, we discuss what this means and how it…
Minimizing Evaluation Error in Osteoarthritis Pain
Osteoarthritis trials have relatively a rate of failure due to many factors, including disease heterogeneity, a disconnect between pain improvement and structural improvement, a strong placebo response,…
Understand patient differences in your next clinical trial
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