Scientific publications
Journal Articles:
- Andrea Benedetti A, Brooke Levis B, Gerta Rücker G, Hayley E. Jones HE, Martin Schumacher M, John P. A. Ioannidis JPA, Brett Thombs B, the DEPRESsion Screening Data (DEPRESSD) Collaboration: An empirical comparison of three methods for multiple cutoff diagnostic test meta‐analysis of the Patient Health Questionnaire‐9 (PHQ‐9) depression screening tool using published data vs individual level data. Res Synth Methods, 2020. : https://doi.org/10.1002/jrsm.1443 (in Druck)
- 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; 26: 992-997. : https://doi.org/10.1016/j.bbmt.2020.01.001
- 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
- Nury E, Bischoff K, Wollmann k, NitschkE k, Lohner S, Schumacher M, Rücker G, Blümle A: Impact of investigator initiated trials and industry sponsored trials on medical practice (IMPACT): rationale and study design. Bmc Med Res Methodol, 2020; 20 (online): 246. : https://doi.org/10.1186/s12874-020-01125-5
- 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; 62: 822-835. : https://doi.org/10.1002/bimj.201800248
- 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; 62: 583-597. : https://doi.org/10.1002/bimj.201800252
- 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; 183: 1479-1500. : https://doi.org/10.1111/rssa.12486
- 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
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