AdEPro visualizes adverse event data from clinical trials on the patient level. It dynamically displays the onset, severity, and development of adverse events as the trial progresses.
R-package on CRAN | source code on GitHub | article | video
BReasy provides a handy platform for structured benefit-risk assessment with forest plot estimates for all relevant efficacy and safety outcomes in one graph.
DetectoR allows for early identification of signals and an ongoing monitoring of safety along the medical product development phase and lifecycle.
DoRiS supports the investigation of dose-response relationships in subgroups.
dosedesignR is an interactive application to facilitate the planning of dose finding trials by applying the theory of optimal experimental design. The application visualizes dose-response curves, optimal designs and corresponding simulated realizations of dose-response studies.
The elaborator is a novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives.
source code on GitHub | article | video
The usefulness of an interim analysis depends on the time at which it is performed and the end of the clinical trial. interim allows you to simulate both immediately.
interimApp provides the functionality of interim as a shiny app.
Megaplots represents each patient in a clinical trial as a timeline on which selected events are plotted. Intelligent sorting algorithms assist in finding patterns.
RegionSizeR is designed for planning the sample size for regions in a multi-regional clinical trial (MRCT), utilizing the preservation of treatment effect method outlined in ICH E17.
source code on GitHub | article
safetygraphicsif provides an interface enabling the usage of the safetyGraphics app with modified Clinical Trial Safety Data.
The Subgroup Explorer allows to sysematically analyze data from clinical trial for subgroup effects.
R-package on CRAN | source code on GitHub | article
The Biostatistics Innovation Center at Bayer
BIC is open to everyone. Write an e-mail to hermann.kulmann@bayer.com if you would like to join.