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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 to optimize the number of covariates and their explained variance in the analysis of randomized clinical trials
The amount of data collected from patients involved in clinical trials is continuously growing. All baseline patient characteristics…
Should strong placebo responders be excluded from clinical trials?
Using Predictive Modeling to understand the impact on assay sensitivity The placebo response is a heavily studied and historically challenging phenomenon for drug developers. Strong placebo effect…
Impact of excluding highly variable pain subjects on the treatment estimation
The baseline pain variability (BPV) has often been presented as positively correlating with the placebo response (PR) and…
Leveraging historical data for covariate adjustment in the analysis of randomized clinical trials
Scientific Poster presented on October 2021 at the Annual Meeting of the Royal Statistical Society of Belgium. The amount…
Top 3 Risks of Unchecked Placebo Response in Clinical Trials
Placebo response is one of the biggest threats to clinical data analysis– especially when left unchecked. In this blog, we review the top three risks trial scientists must address (and how to address them).
How to Use ePRO to Understand the Impact of Decentralized Clinical Trials on Patients
In this article, we will first discuss the rise of DCTs, empowered by technology like ePRO in clinical trials. Then, we will review how related technology can…
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