{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 [...]
IMPALA Consortium is pleased to announce the release of its newest open-source R Package, the Clinical Trial Anomaly Spotter (CTAS.) CTAS is a powerful tool for Central Statistical Monitoring that identifies outliers and anomalies efficiently and accurately in clinical trial [...]
On November 9, 2023, IMPALA hosted a webinar on Embedding an Open Source Package into Analytics-Based Audits. During this presentation, Bjoern Koneswarakantha and Lisa Bennett of Roche discussed IMPALA’s Clinical Safety Reporting R package. This included testing, methodology, cross-validation between [...]
