The DIA China Meeting held in SuZhou from May 17-19, 2024, brought together professionals from the pharmaceutical industry, regulatory agencies, and research organisations. IMPALA was grateful to present at two sessions to showcase some of the work products the consortium [...]
The recording from the May 6th, 2024 Webinar on Identifying Anomalies in Clinical Trial Data with CTAS (Clinical Trial Anomaly Spotter) is now available. During this presentation, Pekka Tiikkainen (Bayer) provided an overview of the open-source R Package that identifies [...]
{simaerep} was originally developed to detect sites that are under-reporting Adverse Events (AE) in clinical trials using a nonparametric bootstrap algorithm. With the release of the most current version v0.5.0 {simaerep} can also be used to detect over-reporting. With this [...]
IMPALA's newest publication has been released in the April 2024 version of Therapeutic Innovation & Regulatory Science. In this paper, IMPALA member representatives validate the open-source R package {simaerep}, which was developed to facilitate rapid, comprehensive, and near-real-time detection of [...]
Register now! https://ieee-isto.webex.com/weblink/register/r6bf252e9bccdc8a1607f9752234b192c Join IMPALA on Monday, May 6th 10am-11am ET/ 4pm-5pm CET for it's webinar "Identifying Anomalies in Clinical Trial Data with CTAS (Clinical Trial Anomaly Spotter.)" In this interactive webinar, the developers of CTAS - a powerful tool [...]
