1. O. Gefeller, B. Hofner, A. Mayr, E. Waldmann (2017). Editorial: "Predictive Modelling Based on Statistical Learning in Biomedicine". Computational and Mathematical Methods in Medicine. 2017, Article ID 4041736, 1-3. DOI 10.1155/2017/4041736.

  2. P. Bahrmann, T. Bertsch, E. Giannitsis, M. Christ, B. Hofner, R. Christenson, B. Lindahl, C. Mueller (2017). "Quantification of renal function and cardiovascular mortality in patients admitted to the emergency department with suspected acute coronary syndromes: results from the TRAPID-AMI study".
    Clinical Laboratory, 63:1457-1466. DOI 10.7754/Clin.Lab.2017.170326"

  3. A. Mayr, B. Hofner, E. Waldmann, T. Hepp, O. Gefeller, M, Schmid (2017). "An update on statistical boosting in biomedicine". Computational and Mathematical Methods in Medicine. 2017, Article ID 6083072, 1-12. DOI 10.1155/2017/6083072.

  4. S. Friedrichs, J. Manitz, P. Burger, C.I. Amos, A. Risch, J.C. Chang-Claude, H.E. Wichmann, T. Kneib, H. Bickeböller, B. Hofner (2017). "Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies". Computational and Mathematical Methods in Medicine, 2017, Article ID 6742763, 1-17. DOI 10.1155/2017/6742763.

  5. G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner H. Seibold, J. Vanschoren, B. Bischl (2017). "OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML". Computational Statistics, Online first. DOI 10.1007/s00180-017-0742-2.
    (Full text, view only).

  6. I. Dörfler, J. Müller, M. Gossner, B. Hofner, W. Weisser (2017). "Success of a deadwood enrichment strategy in production forests depends on stand type and management intensity". Forest Ecology and Management, 400, 607-620. DOI 10.1016/j.foreco.2017.06.013.

  7. J. Thomas, A. Mayr, B. Bischl, M. Schmid, A. Smith, B. Hofner (2017). "Gradient boosting for distributional regression - faster tuning and improved variable selection via noncyclical updates". Statistics and Computing, Online First. DOI 10.1007/s11222-017-9754-6.
    (Preliminary version: arXiv:1611.10171).

  8. M. Burow, R. Forst, J. Forst, B. Hofner, A. Fujak (2017). "Perioperative complications of scoliosis surgery in patients with Duchenne muscular dystrophy and spinal muscular atrophy, focussing on wound healing disorders". International Journal of Neuroscience, 127(6):479-485. DOI 10.1080/00207454.2016.1196688.
    (Abstract, PDF)

  9. P. Bahrmann, M. Christ, B. Hofner, A. Bahrmann, S. Achenbach, C. Sieber, T. Bertsch (2016). "Prognostic value of different biomarkers for cardiovascular death in unselected older patients in the emergency department". European Heart Journal: Acute Cardiovascular Care, 5:568-578. DOI 10.1177/2048872615612455.

  10. B. Hofner, A. Mayr, M. Schmid (2016). "gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework". Journal of Statistical Software, 74(1):1-31. DOI 10.18637/jss.v074.i01.
    (Abstract, PDF)

  11. A. Mayr, B. Hofner, M. Schmid (2016). "Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection". BMC Bioinformatics, 17:288. DOI 10.1186/s12859-016-1149-8.

  12. S. Engel, A. Reiter-Jäschke, B. Hofner (2016). "EduKation demenz®: Psychoedukatives Schulungsprogramm für Angehörige von Menschen mit Demenz". Zeitschrift für Gerontologie und Geriatrie, 49:187-195. DOI 10.1007/s00391-016-1034-0.

  13. B. Hofner, M. Schmid, L. Edler (2016). "Reproducible research in statistics: A review and guidelines for the Biometrical Journal". Biometrical Journal, 58:416-427. DOI 10.1002/bimj.201500156.
    (Abstract, PDF)

  14. B. Hofner, T. Kneib, T. Hothorn (2016). "A Unified Framework of Constrained Regression". Statistics and Computing, 26:1-14. DOI 10.1007/s11222-014-9520-y.

  15. R. Belli, A. Petschelt, B. Hofner, J. Hajto, S. Scherrer, U. Lohbauer (2016). "Fracture rates and lifetime estimations of CAD/CAM all-ceramic restorations". Journal of Dental Research. 95, 67-73. DOI 10.1177/0022034515608187.

  16. C. Benhamda, A. Benkahla, S. Ben Miled, H. Ouled-Haddar, M.d.C. Montero-Calasanz, M. Gtari, A. Cherif, B. Hofner, K. Ghedira, H. Sghaier (2015). "The RadioP1: An Integrative Web Resource for Radioresistant Prokaryotes", Evolution of Ionizing Radiation Research, Dr. Mitsuru Nenoi (Ed.), InTech.
    (Abstract, PDF)

  17. B. Hofner, A. Smith (2015). "Boosted negative binomial hurdle models for spatiotemporal abundance of sea birds". In H. Friedl, H. Wagner (eds.) Proceedings of the 30th International Workshop on Statistical Modelling, pp. 221-226. Linz, Austria.

  18. A. Mayr, B. Hofner, M. Schmid (2015). "Boosting the discriminatory power of survival models via the C-index and stability selection". In H. Friedl, H. Wagner (eds.) Proceedings of the 30th International Workshop on Statistical Modelling, pp. 296-301. Linz, Austria.

  19. B. Hofner, L. Boccuto and M. Göker (2015). "Controlling false discoveries in high-dimensional situations: Boosting with stability selection". BMC Bioinformatics, 16:144. DOI 10.1186/s12859-015-0575-3
    (Abstract, PDF)

  20. P. Bahrmann, A. Bahrmann, B. Hofner, M. Christ, S. Achenbach, C. Sieber, T. Bertsch (2015). "Multiple biomarker strategy for improved diagnosis of acute heart failure in older patients presenting to the emergency department." European Heart Journal: Acute Cardiovascular Care, 4:137-147. DOI 10.1177/2048872614541904
    (Abstract, PDF)

  21. S. Letz, C. Haag, E. Schulze, K. Frank-Raue, F. Raue, B. Hofner, B. Mayr, C. Schöfl (2014). "Amino Alcohol- (NPS-2143) and Quinazolinone-Derived Calcilytics (ATF936 and AXT914) Differentially Mitigate Excessive Signalling of Calcium-Sensing Receptor Mutants Causing Bartter Syndrome Type 5 and Autosomal Dominant Hypocalcemia". PLoS ONE, 9(12): e115178, DOI 10.1371/journal.pone.0115178.

  22. B. Balzien, B. Hofner, E. Harlander-Weikert, P. Frommelt, H. Bork, R. Forst, A. Fujak (2014). "Orthopädische Beschwerden und Funktionseinschränkungen beim Post-Polio-Syndrom" (English Title: Musculoskeletal Symptoms in Patients with Post-Polio Syndrome). Z Orthop Unfall, 152:241-246.
    (Abstract, PDF)

  23. M. d. C. Montero-Calasanz, B. Hofner, M. Göker, M. Rohde, C. Spröer, K. Hezbri, M. Gtari, P. Schumann, H.-P. Klenk (2014). "Geodermatophilus poikilotrophi sp. nov., a multi-tolerant actinomycete isolated from dolomitic marble." BioMed Research International, 2014(914767):1-11.
    (Abstract, PDF)

    • Dedicated software package: lethal now available on R-forge.
  24. B. Hofner, A. Mayr, N. Robinzonov, M. Schmid (2014). "Model-based Boosting in R: A Hands-on Tutorial Using the R Package mboost". Computational Statistics, 29:3-35.
    (Abstract, PDF)

  25. L. A. I. Vaas, J. Sikorski, B. Hofner, A. Fiebig, N. Buddruhs, H.-P. Klenk, M. Göker (2013). "opm: An R Package for Analysing OmniLog® Phenotype MicroArray Data". Bioinformatics, 29: 1823-1824.
    (Abstract, PDF)

    • Dedicated software package: opm now available on CRAN.

  26. B. Hofner, T. Hothorn, T. Kneib (2013). "Variable Selection and Model Choice in Structured Survival Models". Computational Statistics, 28:1079-1101.
    (Abstract, PDF)

  27. K. Luttenberger, B. Hofner, E. Graessel (2012). "Are the effects of a non-drug multimodal activation therapy of dementia sustainable? Follow-up study 10 months after completion of a randomised controlled trial". BMC Neurology, 12:151.
    (Abstract and PDF)

  28. F. Sobotka, R. Mirkov, B. Hofner, P. H. C. Eilers, T. Kneib (2012). "Modeling flow in gas transmission networks using shape-constrained expectile regression". In A. Kom?rek and S. Nagy (eds.) Proceedings of the 27th International Workshop on Statistical Modelling, pp. 315-320. Prague, Czech Republic.

  29. A. Mayr, N. Fenske, B. Hofner, T. Kneib, M. Schmid (2012). "Generalized additive models for location, scale and shape for high dimensional data - a flexible approach based on boosting." Journal of the Royal Statistical Society, Series C (Applied Statistics), 61:403-427.
    (Abstract, PDF)

    • Dedicated software package: gamboostLSS now available on CRAN.
  30. A. Mayr, B. Hofner, M. Schmid (2012). "The importance of knowing when to stop - a sequential stopping rule for component-wise gradient boosting". Methods of Information in Medicine, 51:178-186.
    (Abstract, PDF)

  31. C. P. Schneider, J. Fertmann, J. Miesen, H. Wolf, C. Flexeder, B. Hofner, H. Küchenhoff, K.-W. Jauch, W. H. Hartl (2012). "Short-term prognosis of critically ill surgical patients: The impact of duration of invasive organ support therapies." Journal of Critical Care, 27:73-82.
    (Abstract, PDF)

  32. B. Hofner, T. Hothorn, T. Kneib, M. Schmid (2011). "A Framework for Unbiased Model Selection Based on Boosting". Journal of Computational and Graphical Statistics, 20:956-971.
    (Abstract, PDF, Supplements)

  33. B. Hofner, J. Müller, T. Hothorn (2011). "Monotonicity-Constrained Species Distribution Models". Ecology, 92:1895-1901.
    (Abstract, PDF, Supplements)

  34. K. Bayerlein, T. Kraus, I. Leinonen, D. Pilniok, A. Rotter, B. Hofner, J. Schwitulla, W. Sperling, J. Kornhuber, T. Biermann (2011). "Orexin A expression and promoter methylation in patients with alcohol dependence comparing acute and protracted withdrawal". Alcohol, 45:541-547.

  35. A. Mayr, N. Fenske, B. Hofner,T. Kneib, M. Schmid (2011). "Boosting Generalized Additive Models for Location, Scale and Shape". In D. Conesa, A. Forte, A. Lopez-Quilez and F. Munoz (eds.) Proceedings of the 26th International Workshop on Statistical Modelling, pp. 384-389. Valencia, Spain.

    • Best student paper award of the IWSM 2011 was awarded to A. Mayr for this work.
  36. A. Tzschoppe, E. Struwe, W. Rascher, H. Dörr, R. Schild, T. Goecke, M. Beckmann, B. Hofner, J. Kratzsch, J. Dötsch (2011). "Intrauterine growth restriction (IUGR) is associated with increased leptin synthesis and binding capability in neonates". Clinical Endocrinology, 74:459-466.
    (Abstract, PDF)

  37. B. Hofner, T. Kneib, W. Hartl, H. Küchenhoff (2011). "Building Cox-Type Structured Hazard Regression Models with Time-Varying Effects." Statistical Modelling: An International Journal, 11:3-24.
    (Abstract, PDF)

  38. T. Hothorn, P. Bühlmann, T. Kneib, M. Schmid, B. Hofner (2010). "Model-based Boosting 2.0". Journal of Machine Learning Research, 11:2109-2113
    (Abstract, PDF)

  39. C. P. Schneider, J. Fertmann, S. Geiger, H. Wolf, H. Biermeier, B. Hofner, H. Küchenhoff, K.-W. Jauch, W. H. Hartl (2010). "Long-term survival after surgical critical illness: the impact of prolonged organ support therapy." Annals of Surgery, 251(6):1145-1153.

    • This mauscript was awarded with the Georg Heberer Award 2011 (ger, en).
  40. C. P. Schneider, C. Seyboth, M. Vilsmaier, H. Küchenhoff, B. Hofner, K.-W. Jauch, W. H. Hartl (2009). "Prognostic factors in critically ill patients suffering from secondary peritonitis: a retrospective observational survival time analysis." World Journal of Surgery, 33:34-43.
    (Abstract, PDF)

  41. P. Moubarak, S. Zilker, H. Wolf, B. Hofner, T. Kneib, H. Küchenhoff, K.-W. Jauch, W. H. Hartl (2008). "Activity-guided antithrombin III therapy in severe surgical sepsis: Efficacy and safety according to a retrospective data analysis". Shock, 30:634-641.

  42. J. Fertmann, H. Wolf, H. Küchenhoff, B. Hofner, K.W. Jauch KW, W.H. Hartl (2008). "Prognostic factors in critically ill surgical patients requiring continuous renal replacement therapy." Journal of Nephrology, 21:909-918.


  • A. Mayr, B. Hofner (2017). "Boosting for statistical modelling - a non-technical introduction"

  • A. Mayr, L. Weinhold, B. Hofner, S. Titze, O. Gefeller, M. Schmid (2017). "The betaboost package - a software tool for modeling bounded outcome variables in potentially high-dimensional epidemiological data"

  • T. Richter-Heitmann*, B. Hofner*, V. Baumgartner, J. Sikorski, P. Wüst, B. Bunk, S. Huang, K. Regan, D. Berner, R. Boeddinghaus, S. Marhan, E. Kandeler, O. Oni, D. Prati, J. Overmann, M. Friedrich (2017). "Spatio-temporal variability of Acidobacteria in a grassland soil".

    * equal contributions

PhD Thesis

Thesis (Diplomarbeit)

  • B. Hofner (2008). "Variable Selection and Model Choice in Survival Models with Time-Varying Effects". Diplomarbeit, Ludwig-Maximilians-Universität München.

Book Review

  • B. Hofner (2012). Book Review: "Biostatistical Design and Analysis Using R: A Practical Guide. Logan (2010)." Biometrical Journal, 54:437-438.

Technical Reports

  • B. Hofner*, L. Vaas*, J.-P. Lawo, T. Müller, J. Sikorski, D. Repsilber (2012). "Biologists meet statisticians: A workshop for young scientists to foster interdisciplinary team work". Technical Report, arXiv:1208.5597v1.

    * equal contributions

Technical Documents (not peer reviewed)

External Resources

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