Daniel Sabanés Bové - List of Publications

Monographs

  • Sabanés Bové, D. (2009) Predictive Assessment of Bayesian Hierarchical Models. Master’s thesis, Institut für Statistik.

  • Sabanés Bové, D. (2013) Objective Bayesian Variable and Function Selection with Hyper-g Priors. PhD thesis, University of Zurich. https://doi.org/10.5167/uzh-164367

  • Held, L., & Sabanés Bové, D. (2020) Likelihood and Bayesian Inference: with Applications in Biology and Medicine. Springer.

Papers

  • Sabanés Bové, D., & Held, L. (2011) Hyper-g priors for generalized linear models. Bayesian Analysis, 6(3), 387–410.

  • Sabanés Bové, D., & Held, L. (2011) Bayesian fractional polynomials. Statistics and Computing, 21(3), 309–324.

  • Held, U., Sabanés Bové, D., Steurer, J., & Held, L. (2012) Validating and updating a risk model for pneumonia–a case study. BMC Medical Research Methodology, 12:99.

  • Walitza, S., Sabanés Bové, D., Romanos, M., Renner, T., Held, L., Simons, M., Wewetzer, C., Fleischhaker, C., Remschmidt, H., Warnke, A., & others (2012) Pilot study on HTR2A promoter polymorphism, -1438G/A (rs6311) and a nearby copy number variation showed association with onset and severity in early onset obsessive-compulsive disorder. Journal of Neural Transmission, 119(4), 507–515.

  • Rüeff, F., Przybilla, B., Walker, A., Gmeiner, J., Kramer, M., Sabanés-Bové, D., Küchenhoff, H., & Herzinger, T. (2012) Sensitization to Common Ragweed in Southern Bavaria: Clinical and Geographical Risk Factors in Atopic Patients. International Archives of Allergy and Immunology, 159(1), 65–74.

  • Sabanés Bové, D., & Held, L. (2013) Comment on Cai and Betensky (2003), On the Poisson Approximation for Hazard Regression. Biometrics, 69(3), 795.

  • Eisenring, C.V., Neidert, M.C., Sabanés Bové, D., Held, L., Sarnthein, J., & Krayenbühl, N. (2013) Reduction of Thromboembolic Events in Meningioma Surgery: A Cohort Study of 724 Consecutive Patients. PLOS ONE, 8(11), e79170.

  • Sabanés Bové, D., Held, L., & Kauermann, G. (2014) Objective Bayesian Model Selection in Generalised Additive Models with Penalised Splines. Journal of Computational and Graphical Statistics, 23(4), 1015–1034.

  • Braun, J., Sabanés Bové, D., & Held, L. (2014) Choice of generalized linear mixed models using predictive crossvalidation. Computational Statistics & Data Analysis, 75, 190–202.

  • Held, L., Sabanés Bové, D., Gravestock, I., & others (2015) Approximate Bayesian model selection with the deviance statistic. Statistical Science, 30(2), 242–257.

  • Held, L., Gravestock, I., & Sabanés Bové, D. (2016) Objective Bayesian model selection for Cox regression. Statistics in Medicine, 35(29), 5376–5390.

  • Zhu, J., Beyer, U., Sarkar, S., Nichols, G., Pao, W., & Sabanés Bové, D. (2017) Experiences and lessons from innovative dose escalation designs in early-phase oncology. Cancer Research, 77(13_Supplement), 3597.

  • Yeung, W.Y., Reigner, B., Beyer, U., Diack, C., Sabanés Bové, D., Palermo, G., & Jaki, T. (2017) Bayesian adaptive dose-escalation designs for simultaneously estimating the optimal and maximum safe dose based on safety and efficacy. Pharmaceutical Statistics, 16(6), 396–413.

  • Sandoval, F., Sabanés Bové, D., Bouseida, S., Karanikas, V., Keelara, A., Saro, J., & Nayak, T. (2017) Early FDG-PET response correlates with dose and clinical efficacy in patients with microsatellite stable (MSS) metastatic CRC (mCRC) treated with the CEA-CD3 T-cell bispecific antibody plus atezolizumab. Annals of Oncology, 28, v122–v123.

  • Zhu, J., Sabanés Bové, D., Liao, Z., Beyer, U., Yung, G., & Sarkar, S. (2021) Rolling continual reassessment method with overdose control: An efficient and safe dose escalation design. Contemporary Clinical Trials, 106436.

  • Sabanés Bové, D., Seibold, H., Boulesteix, A.L., Manitz, J., Gasparini, A., Günhan, B.K., Boix, O., Schüler, A., Fillinger, S., Nahnsen, S., & others (2023) Improving Software Engineering in Biostatistics: Challenges and Opportunities. arXiv preprint arXiv:2301.11791.

Software

  • Sabanés Bové, D., Yeung, W.Y., Palermo, G., & Jaki, T. (2019) Model-Based Dose Escalation Designs in R with crmPack. Journal of Statistical Software, 89(10).

  • Li, L., Bannick, M., Sabanés Bové, D., & others (2026) RobinCar2: ROBust INference for Covariate Adjustment in Randomized Clinical Trials. R package version 0.2.2, https://github.com/openpharma/RobinCar2/.

  • Sabanés Bové, D., Li, L., Dedic, J., & others (2026) mmrm: Mixed Models for Repeated Measures. R package version 0.3.17, https://openpharma.github.io/mmrm/.