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Institut für Medizinische Biometrie und Statistik (IMBI)
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Willi Sauerbrei

Bibliographie

Institutionelle Zugehörigkeiten

Publikationen

2026

  • Thiébaut, Anne C. M.; Perperoglou, Aris; Sedki, Mohammed; Ferreira Guerra, Steve; Gustafson, Paul; Harrell, Frank E.; Sauerbrei, Willi; Abrahamowicz, Michal; Freedman, Laurence S. (2026): Methods for adjusting for covariate measurement error in flexible modeling of functional form: designing a blinded, controlled neutral comparison simulation study. Biometrical Journal 68(4):e70155. https://doi.org/10.1002/bimj.70155

2025

  • Amdal, Cecilie Delphin; Sauerbrei, Willi; Bjordal, Kristin; Pe, Madeline (2025): SISAQOL-IMI consensus-based guidelines to design, analyse, interpret, and present patient-reported outcomes in cancer clinical trials. The Lancet Oncology 26(12):e683-e693. https://doi.org/10.1016/s1470-2045(25)00520-0
  • Ullmann, Theresa; Heinze, Georg; Abrahamowicz, Michal; Perperoglou, Aris; Sauerbrei, Willi; Schmid, Matthias; Dunkler, Daniela; Binder, Harald (2025): A systematic categorization of performance measures for estimated non‐linear associations between an outcome and continuous predictors. WIREs Computational Statistics 17(3):e70042. https://doi.org/10.1002/wics.70042
  • Sekula, Peggy; Steinbrenner, Inga; Schultheiß, Ulla Teresa; Valveny, Neus; Rebora, Paola; Halabi, Susan; Cadarette, Suzanne M.; Riley, Richard D.; Collins, Gary S.; Sauerbrei, Willi; Gail, Mitchell H. (2025): Design aspects for prognostic factor studies. BMJ Open 15(8):e095065. https://doi.org/10.1136/bmjopen-2024-095065
  • Kipruto, Edwin; Sauerbrei, Willi (2025): Unraveling similarities and differences between non-negative garrote and adaptive lasso: a simulation study in low- and high-dimensional data. Stats 8(3):70. https://doi.org/10.3390/stats8030070
  • Kipruto, Edwin; Sauerbrei, Willi (2025): Evaluating prediction performance : a simulation study comparing penalized and classical variable selection methods in low-dimensional data. Applied Sciences 15(13):7443. https://doi.org/10.3390/app15137443
  • Sauerbrei, Willi; Ambrogi, Federico; De Bin, Riccardo; Boulesteix, Anne-Laure; Goetghebeur, Els; Huebner, Marianne (2025): Commentary: Regression models-efforts are required to improve statistical practice and teaching. Statistics in medicine 44(13-14):e10341. https://doi.org/10.1002/sim.10341
  • Lusa, Lara; Kappenberg, Franziska; Collins, Gary S.; Schmid, Matthias; Sauerbrei, Willi; Rahnenführer, Jörg (2025): Evaluation of changes in prediction modelling in biomedicine using systematic reviews. BMC medical research methodology 25(1):167. https://doi.org/10.1186/s12874-025-02605-2
  • Thomassen, Doranne; Roychoudhury, Satrajit; Amdal, Cecilie Delphin; Reynders, Dries; Musoro, Jammbe Z.; Sauerbrei, Willi; Goetghebeur, Els; Cessie, Saskia le (2025): Handling missing values in patient-reported outcome data in the presence of intercurrent events. BMC medical research methodology 25(1):56. https://doi.org/10.1186/s12874-025-02510-8
  • Abrahamowicz, Michal; Beauchamp, Marie-Eve; Boulesteix, Anne-Laure; Morris, Tim P; Sauerbrei, Willi; Kaufman, Jay S. (2025): Data-driven simulations to assess the impact of study imperfections in time-to-event analyses. American journal of epidemiology 194(1):233-242. https://doi.org/10.1093/aje/kwae058

2024

  • Thomassen, Doranne; Roychoudhury, Satrajit; Amdal, Cecilie Delphin; Reynders, Dries; Musoro, Jammbe Z.; Sauerbrei, Willi; Goetghebeur, Els; Cessie, Saskia le (2024): The role of the estimand framework in the analysis of patient-reported outcomes in single-arm trials: a case study in oncology. BMC medical research methodology 24(1):290. https://doi.org/10.1186/s12874-024-02408-x
  • Kipruto, Edwin; Sauerbrei, Willi (2024): Post‐estimation shrinkage in full and selected linear regression models in low‐dimensional data revisited. Biometrical journal 66(7):e202300368. https://doi.org/10.1002/bimj.202300368
  • Heinze, Georg; Baillie, Mark; Lusa, Lara; Sauerbrei, Willi; Schmidt, Carsten Oliver; Harrell, Frank E.; Huebner, Marianne (2024): Regression without regrets -initial data analysis is a prerequisite for multivariable regression. BMC medical research methodology 24(1):178. https://doi.org/10.1186/s12874-024-02294-3

2023

  • Pe, Madeline; Bottomley, Andrew (2023): Setting International Standards in Analyzing Patient-Reported Outcomes and Quality of Life Endpoints in Cancer Clinical Trials-Innovative Medicines Initiative (SISAQOL-IMI): stakeholder views, objectives, and procedures. The lancet 24(6):e270-e283. https://doi.org/10.1016/s1470-2045(23)00157-2
  • Rahnenführer, Jörg; De Bin, Riccardo; Benner, Axel; Ambrogi, Federico; Lusa, Lara; Boulesteix, Anne-Laure; Migliavacca, Eugenia; Binder, Harald; Michiels, Stefan; Sauerbrei, Willi; McShane, Lisa M. (2023): Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges. BMC medicine 21(1):182. https://doi.org/10.1186/s12916-023-02858-y
  • Liu, Limin; Choi, Jungyeon; Musoro, Jammbe Z.; Sauerbrei, Willi; Amdal, Cecilie Delphin; Alanya, Ahu; Barbachano, Yolanda; Cappelleri, Joseph C.; Falk, Ragnhild Sørum; Fiero, Mallorie H.; Regnault, Antoine; Reijneveld, Jaap C.; Sandin, Rickard; Thomassen, Doranne; Roychoudhury, Satrajit; Goetghebeur, Els; Cessie, Saskia le (2023): Single-arm studies involving patient-reported outcome data in oncology: a literature review on current practice. The lancet. Oncology 24(5):e197-e206. https://doi.org/10.1016/s1470-2045(23)00110-9
  • Sauerbrei, Willi; Kipruto, Edwin; Balmford, James (2023): Effects of influential points and sample size on the selection and replicability of multivariable fractional polynomial models. Diagnostic and prognostic research 7(1):7. https://doi.org/10.1186/s41512-023-00145-1
  • Hayes, Daniel F.; Sauerbrei, Willi; McShane, Lisa M. (2023): REMARK guidelines for tumour biomarker study reporting: a remarkable history. British journal of cancer 128(3):443-445. https://doi.org/10.1038/s41416-022-02046-4

2022

  • Kipruto, Edwin; Sauerbrei, Willi (2022): Comparison of variable selection procedures and investigation of the role of shrinkage in linear regression-protocol of a simulation study in low-dimensional data. PLOS ONE 17(10):e0271240. https://doi.org/10.1371/journal.pone.0271240
  • Sauerbrei, Willi; Haeussler, Tim; Balmford, James; Huebner, Marianne (2022): Structured reporting to improve transparency of analyses in prognostic marker studies. BMC medicine 20:184. https://doi.org/10.1186/s12916-022-02304-5
  • Sauerbrei, Willi; Royston, Patrick (2022): Investigating treatment-effect modification by a continuous covariate in IPD meta-analysis: an approach using fractional polynomials. BMC medical research methodology 22:98. https://doi.org/10.1186/s12874-022-01516-w
  • Wallisch, Christine; Bach, Paul; Hafermann, Lorena; Klein, Nadja; Sauerbrei, Willi; Steyerberg, Ewout W.; Heinze, Georg; Rauch, Geraldine; Binder, Harald; initiative, on behalf of the STRATOS (2022): Review of guidance papers on regression modeling in statistical series of medical journals. PLOS ONE 17(1):e0262918. https://doi.org/10.1371/journal.pone.0262918

2021

  • Schmidt, Carsten Oliver; Struckmann, Stephan; Enzenbach, Cornelia; Reineke, Achim; Stausberg, Jürgen; Damerow, Stefan; Huebner, Marianne; Schmidt, Börge; Sauerbrei, Willi; Richter, Adrian (2021): Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R. BMC medical research methodology 21(1):63. https://doi.org/10.1186/s12874-021-01252-7
  • Sauerbrei, Willi; Bland, Martin; Evans, Stephen J. W.; Riley, Richard D.; Royston, Patrick; Schumacher, Martin; Collins, Gary S. (2021): Doug Altman: driving critical appraisal and improvements in the quality of methodological and medical research. Biometrical journal 63(2):226-246. https://doi.org/10.1002/bimj.202000053

2020

  • De Bin, Riccardo; Boulesteix, Anne-Laure; Benner, Axel; Becker, Natalia; Sauerbrei, Willi (2020): Combining clinical and molecular data in regression prediction models: insights from a simulation study. Briefings in Bioinformatics 21(6):1904-1919. https://doi.org/10.1093/bib/bbz136
  • Bach, Paul; Wallisch, Christine; Klein, Nadja; Hafermann, Lorena; Sauerbrei, Willi; Steyerberg, Ewout W.; Heinze, Georg; Rauch, Geraldine; Group 2 of the STRATOS initiative, [Study group] (2020): Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: study protocol. PLOS ONE 15(12):e0241427. https://doi.org/10.1371/journal.pone.0241427
  • Boulesteix, Anne-Laure; Groenwold, Rolf; Abrahamowicz, Michal; Binder, Harald; Briel, Matthias; Hornung, Roman; Morris, Tim P; Rahnenführer, Jörg; Sauerbrei, Willi; STRATOS Simulation Panel, [Study group] (2020): Introduction to statistical simulations in health research. BMJ open 10(12):e039921. https://doi.org/10.1136/bmjopen-2020-039921
  • Schandelmaier, Stefan; Briel, Matthias; Varadhan, Ravi; Schmid, Christopher H.; Devasenapathy, Niveditha; Hayward, Rodney A.; Gagnier, Joel; Borenstein, Michael; Heijden, Geert J. M. G. van der; Dahabreh, Issa J.; Sun, Xin; Sauerbrei, Willi; Walsh, Michael; Ioannidis, John P. A.; Thabane, Lehana; Guyatt, Gordon H. (2020): Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses. The Canadian Medical Association journal 192(32):E901-E906. https://doi.org/10.1503/cmaj.200077
  • Sauerbrei, Willi; Perperoglou, Aris; Schmid, Matthias; Abrahamowicz, Michal; Becher, Heiko; Binder, Harald; Dunkler, Daniela; Harrell, Frank E.; Royston, Patrick; Heinze, Georg (2020): State of the art in selection of variables and functional forms in multivariable analysis - outstanding issues. Diagnostic and prognostic research 4(1):3. https://doi.org/10.1186/s41512-020-00074-3
  • Beyersmann, Jan; Sauerbrei, Willi; Schmoor, Claudia (2020): Statistical models for complex data in clinical and epidemiological research. Biometrical journal 62(3):528-531. https://doi.org/10.1002/bimj.202000079

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