output
20162023
most citedRecent advances in methodology for clinical trials in small populations: the InSPiRe project

50 citations

5 papers

stat.CO2023★ 6 cited

Improving Software Engineering in Biostatistics: Challenges and Opportunities

Daniel Sabanés Bové, Heidi Seibold, Anne-Laure Boulesteix +9

Programming is ubiquitous in applied biostatistics; adopting software engineering skills will help biostatisticians do a better job. To explain this, we start by highlighting key c…

stat.AP2020★ 6 cited

Subgroup identification in individual patient data meta-analysis using model-based recursive partitioning

Cynthia Huber, Norbert Benda, Tim Friede

Model-based recursive partitioning (MOB) can be used to identify subgroups with differing treatment effects. The detection rate of treatment-by-covariate interactions and the accur…

stat.AP2018★ 50 cited

Recent advances in methodology for clinical trials in small populations: the InSPiRe project

T. Friede, M. Posch, S. Zohar +19

Where there are a limited number of patients, such as in a rare disease, clinical trials in these small populations present several challenges, including statistical issues. This l…

stat.AP2018

Optimal Design in Hierarchical Models with application in Multi-center Trials

Maryna Prus, Norbert Benda, Rainer Schwabe

Hierarchical random effect models are used for different purposes in clinical research and other areas. In general, the main focus is on population parameters related to the expect…

q-bio.QM2016★ 10 cited

Systematic reviews in paediatric multiple sclerosis and Creutzfeldt-Jakob disease exemplify shortcomings in methods used to evaluate therapies in rare conditions

Steffen Unkel, Christian Röver, Nigel Stallard +4

BACKGROUND: Randomized controlled trials (RCTs) are the gold standard design of clinical research to assess interventions. However, RCTs cannot always be applied for practical or e…