Lessons learned from IDeAl-33 recommendations from the IDeAl-net about design and analysis of small population clinical trials

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Hilgers, Ralf-Dieter; Bogdan, Malgorzata; Burman, Carl-Fredrik; Dette, Holger; Karlsson, Mats; König, Franz; Male, Christoph; Mentré, France; Molenberghs, Geert; Senn, Stephen;
(2018)
  • Publisher: BMC
  • Journal: volume 13issn: 1750-1172, eissn: 1750-1172
  • Publisher copyright policies & self-archiving
  • Related identifiers: pmc: PMC5948846, doi: 10.1186/s13023-018-0820-8, doi: 10.18154/RWTH-CONV-237581
  • Subject: Statistical methodology | Medicine, Research & Experimental | Rare disease | SIMULATION | Life Sciences & Biomedicine | Medicine | Research & Experimental Medicine | Small population clinical trials | Science & Technology | MIXED-EFFECTS MODELS | Genetics & Heredity | DISTRIBUTIONS | RESEARCH-AND-DEVELOPMENT | SELECTION BIAS | R | TEST DECISIONS | Statistical design | Review | PARAMETER UNCERTAINTY | ADAPTIVE DESIGNS | DRUG RESEARCH | Statistical analysis | REGRESSION-MODELS

BACKGROUND: IDeAl (Integrated designs and analysis of small population clinical trials) is an EU funded project developing new statistical design and analysis methodologies for clinical trials in small population groups. Here we provide an overview of IDeAl findings and... View more
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