IDeAl Recommendations for Small Population Clinical Trials are accepted for publication

IDeAl (Integrated designs and analysis of small population clinical trials)  provided an overview of IDeAl findings. We give 33 recommendations to applied researchers. The paper is accepted for publication is Orphanet Journal for Rare Diseases. DOI: 10.1186/s13023-018-0820-8

New Milestone

The IDeAl group reached the milestone of  70 papers in peer reviewed scientific journals and more than 180 presentations. Great Job!

IDeAl recent accepted papers

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.

IDeAl recent publication: ERDO

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.

IDeAl summary report

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.