Select Publications
D. Uschner (2021). Randomization‐based inference in the presence of selection bias. Statistics in Medicine. 1– 18. https://doi.org/10.1002/sim.8898
R. Gubitosi-Klug, B.H. Braffett, S. Hitt, V. Arends, D. Uschner, K. Jones, L. Diminick, A.B. Karger, A.D. Paterson, D. Roshandel, S. Marcovina, J.M. Lachin, M. Steffes, J.P. Palmer, and the DCCT/EDIC Research Group (2021). Residual Beta Cell Function in Long-term Type 1 Diabetes. Journal of Clinical Investigation. 131(3). https://doi.org/10.1172/JCI143011
Y. Wang, W. F. Rosenberger, D. Uschner. (2019) Randomization Tests for Multi-armed Randomized Clinical Trials. Statistics in Medicine. 39(4): 494-509. https://doi.org/10.1002/sim.8418
Y. Jiang, D. Uschner (2019). What romantic comedies can teach us about response adaptive randomization for clinical trials? Chance. 32(4): 18-22. https://doi.org/10.1080/09332480.2019.1695436
Y. Wang, W. F. Rosenberger, D. Uschner. (2019). Randomization-based inference and the choice of randomization procedures. Statistical papers. 60(2) https://doi.org/10.1007/s00362-018-01070-y .
A. Kroh, D. Uschner, T. Lodewick, R. M. Eickhoff, F. T. Ulmer, U. P. Neumann, M. Binnebösel (2019). Impact of body composition on survival and morbidity after liver resection in HCC patients. Hepatobiliary and Pancreatic Diseases International. 85(1) https://doi.org/10.1016/j.hbpd.2018.07.008.
W. F. Rosenberger, D. Uschner, Y. Wang (2018). Rejoinder. Statistics in Medicine. 38(1) https://doi.org/10.1002/sim.7901.
W. F. Rosenberger, D. Uschner, Y. Wang (2018). The fifteenth Armitage Lecture: Randomization: The forgotten component of the randomized clinical trial. Statistics in Medicine. 38(1) https://doi.org/10.1002/sim.7901.
D. Schindler, D. Uschner, R.-D. Hilgers and N. Heussen (2018). randomizeR: Randomization for Clinical Trials. R package version 1.4.
D. Uschner, D. Schindler, R.-D. Hilgers, N. Heussen (2018). randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials. Journal of Statistical Software. 85(8). http://doi.org/10.18637/jss.v085.i08.
D. Uschner, N. Heussen, R.-D. Hilgers (2018). The Impact of Selection Bias in Randomized Multi-Arm Parallel Group Clinical Trials. PLOS ONE 13(1): e0192065. https://doi.org/10.1371/journal.pone.0192065.
S. Bergrath, M. Müller, R. Rossaint, S. K. Beckers, D. Uschner, M. Czaplik, J. C. Brokmann (2018). Quality outcomes in acute coronary syndromes between telemedically supported paramedics and conventional on-scene physician care - a longitudinal pre-post intervention cohort study. Health Informatics Journal. https://doi.org/10.1177/1460458218775157.
R.-D. Hilgers, D. Uschner, W. F. Rosenberger and N. Heussen (2017). A general framework to assess randomization procedures in the presence of selection and chronological bias. BMC Medical Research Methodology.17:159 https://doi.org/10.1186/s12874-017-0428-z.
R. Gohmann, F. Heckner, D. Uschner, S. D. Reinartz (2017). Body pushers: Low-dose CT, always the best choice? A study of the diagnostic performance of CT scout view. Open Journal of Radiology. 7(2) http://doi.org/10.4236/ojrad.2017.72013.
Chapters in Book
D. Uschner, W. F. Rosenberger. (2019). Bias Control and Precision. In: Principles and Practice of Clinical Trials. Volume 1. Steven Piantadosi, Curtis L. Meinert. Springer (accepted).