Daniel Gerhard

LecturerDaniel Gerhard

200/300-Level STAT Co-ordinator
Erskine 611
Internal Phone: 92440

Qualifications

Research Interests

I am an applied statistician with research interests in dose-response modelling, hierarchical modelling, and simultaneous inference.

Recent Publications

  • Liu M., Scheepbouwer E. and Gerhard D. (2017) Statistical Model for Estimating Restoration Time of Sewerage Pipelines after Earthquakes. Journal of Performance of Constructed Facilities 31(5) http://dx.doi.org/10.1061/(ASCE)CF.1943-5509.0001064.
  • Otava M., Sengupta R., Shkedy Z., Lin D., Pramana S., Verbeke T., Haldermans P., Hothorn LA., Gerhard D. and Kuiper RM. (2017) IsoGeneGUI: Multiple Approaches for Dose-Response Analysis of Microarray Data Using R. The R Journal https://journal.r-project.org/.
  • Otava M., Shkedy Z., Hothorn LA., Talloen W., Gerhard D. and Kasim A. (2017) Identification of the Minimum Effective Dose for Normally Distributed Data Using a Bayesian Variable Selection Approach. Journal of Biopharmaceutical Statistics http://dx.doi.org/10.1080/10543406.2017.1295247.
  • Schaarschmidt F., Gerhard D. and Vogel C. (2017) Simultaneous confidence intervals for comparisons of several multinomial samples. Computational Statistics and Data Analysis 106: 65-76. http://dx.doi.org/10.1016/j.csda.2016.09.004.
  • Baty F., Ritz C., Van Gestel A., Brutsche M. and Gerhard D. (2016) Modeling the oxygen uptake kinetics during exercise testing of patients with chronic obstructive pulmonary diseases using nonlinear mixed models. BMC Medical Research Methodology 16(1) http://dx.doi.org/10.1186/s12874-016-0173-8.