Research Report for the year 2020

Scientific publications

Journal Articles:
  • Bluhmki T, Schmoor C, Finke J, Schumacher M, Socié G, Beyersmann J: Relapse- and immunosuppression-free survival after hematopoietic stem-cell transplantation: How can we assess treatment success for complex time-to-event endpoints? Biol Blood Marrow Tr, 2020. : https://doi.org/10.1016/j.bbmt.2020.01.001 (in Druck)
  • Blümle A, Haag T, Balmford J, Rücker G, Schumacher M, Binder N: A multi-state model analysis of the time from ethical approval to publication of clinical research studies. Plos One, 2020; 15 (online): e0230797. : https://doi.org/10.1371/journal.pone.0230797
  • Bonofiglio F, Schumacher M, Binder H: Recovery of original individual person data (IPD) inferences from empirical IPD summaries only: Applications to distributed computing under disclosure constraints. Stat Med, 2020; 39: 1183-1198. : https://doi.org/10.1002/sim.8470
  • Chiabudini M, Schumacher M, Graf E: Comparison of complex modeling strategies for prediction of a binary outcome based on a few, highly correlated predictors. Biometrical J, 2020. : https://doi.org/10.1002/bimj.201800243 (in Druck)
  • Feifel J, Gebauer M, Schumacher M, Beyersmann J: Nested exposure case-control sampling: a sampling scheme to analyze rare time-dependent exposures. Lifetime Data Anal, 2020; 26: 21-44. : https://doi.org/10.1007/s10985-018-9453-4
  • Schinke M, Ihorst G, Duyster J, Wäsch R, Schumacher M, Engelhardt M: Risk of disease recurrence and survival in patients with multiple myeloma: A German Study Group analysis using a conditional survival approach with long-term follow-up of 815 patients. Cancer, 2020; 126: 3504-3515. : https://doi.org/10.1002/cncr.32978
  • Schlosser P, Knaus J, Schmutz M, Dohner K, Plass C, Bullinger L, Claus R, Binder H, Lubbert M, Schumacher M: Netboost: Boosting-supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020. : https://doi.org/10.1109/tcbb.2020.2983010 (in Druck)
  • Schumacher M, Hieke S, Ihorst G, Engelhardt M: Dynamic prediction: A challenge for biostatisticians, but greatly needed by patients, physicians and the public. Biometrical J, 2020. : https://doi.org/10.1002/bimj.201800248 (in Druck)
  • von Cube M, Schumacher M, Putter H, Timsit JF, van de Velde C, Wolkewitz M: The population-attributable fraction for time-dependent exposures using dynamic prediction and landmarking. Biometrical J, 2020. : https://doi.org/10.1002/bimj.201800252 (in Druck)
  • von Cube M, Schumacher M, Wolkewitz M: Causal inference with multistate models—estimands and estimators of the population attributable fraction. J R Stat Soc A Stat, 2020. : https://doi.org/10.1111/rssa.12486 (in Druck)
  • von Cube MK, Schumacher M, Wolkewitz M: Follow-on rifaximin for the prevention of recurrence following standard treatment of infection with Clostridium difficile: a competing risks analysis provides a full picture of possible treatment effects. Gut, 2020; 69: 389-400. : https://doi.org/10.1136/gutjnl-2018-317839