Recently two papers have been accepted for publication in the Journal of the American Statistical Association. These are “Equivalence of regression curves” from Holger Dette, Kathrin Möllenhoff, Stanislav Volgushev & Frank Bretz and “Group SLOPE-adaptive selection of groups of predictors” from Damian Brzyski, Weijie Su & Malgorzata Bodgan. Furthermore “Assessing the similarity of dose response and target doses in two non-overlapping subgroups” from Frank Bretz, Kathrin Möllenhoff, Holger Dette, Wei Liu & Matthias Trampisch has been accepted for publication in Statistics in Medicine.
The article “ERDO – A framework to select an appropriate randomization procedure for clinical trials” from Ralf-Dieter Hilgers (IDeAl coordinator) together with Diane Uschner (WP2), Bill Rosenberger (EAB) and Nicole Heussen (WP2) has now been accepted for publication in BMC Medical Research Methodology. Now decision making with respect to selection of the best practice randomization procedure is possible, in particular with small population clinical trials.
The IDeAl team submitted the summarizing report entitled “Lessons learned from IDeAl — 33 recommendations from the IDeAl-Net about design and analysis of small population clinical trials” to Orphanet Journal of Rare Diseases. The report summarizes IDeAl findings resulting in 33 recommendations for practice and relating the work to IRDiRC topics as well as necessary skill in statistical methodologies in small population clinical trial research.
IDeAl was considered as promising project highlighted by the European Commission’s Project Officer and selected by the CORDIS (the European Commission’s primary service for EU-funded research results) Editorial Team to be written about in a “Results in Brief” article. Additional information in form of the final report is linked via the CORDIS page.
The Eastern North American Region (ENAR) of the International Biometric Society awarded Damian Brzyski with the Distinguished Student Paper Award for his work on group SLOPE which he performed within the IDeAl project. Brzyski’s paper, entitled “Group SLOPE as Method for SNPs Selection with the False Discovery Rate Control,” is focused on a new method for identifying groups of variables in a linear regression model that have an impact on the considered response.