Burak Kürsad Günhan

PhD Student - WG Clinical Trials
orcid.org/0000-0002-7454-8680
Phone:
0551-39-19716Telefax:
0551-39-4995E-Mail:
Burak.Gunhan@med.uni-goettingen.deOffice room:
Humboldtallee 32, Floor 3, 3.111ORCID iD:
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Publons iD:
https://publons.com/a/1474663Github:
https://github.com/gunhanbWebsite:
http://bkguenhan.netlify.com/Research interests
- Bayesian statistics
- Hierarchical models
- Network meta-analyis
- Phase-I dose-escalation trials
- PK/PD models in drug development
[08/2019-10/2017] | Internship, Galapagos NV, Mechelen, Belgium |
[11/2017-08/2017] | Internship, Novartis Pharma AG, Basel, Switzerland |
[present-12/2016] | PhD Student, Department of Medical Statistics, UMG, Göttingen |
[present-08/2016] | Research assistant, Department of Medical Statistics, UMG, Göttingen |
[06/2016-03/2016] | Internship, F. Hoffman-La Roche AG, Basel, Switzerland |
[2016-2013] | MSc. in Biostatistics, University of Zurich, Zurich, Switzerland |
[2012-2007] | BSc. in Mathematics, Bogazici University, Istanbul, Turkey |
Publications
- B. K. Günhan, S. Weber, T. Friede, 2020. A Bayesian time-to-event pharmacokinetic model for phase I dose-escalation trials with multiple schedules. Submitted for publication ( Preprint.).
- B. K. Günhan, S. Weber, A. Seroutou, T. Friede, 2020. Sequential phase I dose-escalation trials with multiple schedules. submitted for publication ( Preprint.).
- B. K. Günhan, C. Röver, T. Friede, 2019. Random-effects meta-analysis of few studies involving rare events. Research Synthesis Methods ( Open Access.).
- B. K. Günhan, T. Friede, L. Held, 2018. A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations. Research Synthesis Methods;9:179-194 (Open Access ).
- T. Friede, M. Posch, S. Zohar, [and 19 others including B. K. Günhan], 2018. Recent advances in methodology for clinical trials in small populations: the InSPiRe project. Orphanet Journal of Rare Diseases;13:186 (Open Access ).
Projects
- Multicenter, open-label Phase Ib dose-escalation and dose-confirmational study for the tolerability and safety of N-hydroxy-N'-phenyl-octanediamide in patients with mild Alzheimer's
disease:
Funded by: Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE); Project duration: Present-2016.
- Development of innovative methods for the design and analysis of clinical studies in rare diseases or small stidy populations (InSPiRE):
Funded by: European Union's Seventh Framework Programme.
Teaching
- Winter Term 2019/2020, Analysis of Time-to-Event Data (MSc. in Applied Statistics).
- Winter Term 2018/2019, Analysis of Time-to-Event Data (MSc. in Applied Statistics).
- Winter Term 2019/2020, Introduction to Statistics (MSc. in Neuroscience).
- Winter Term 2018/2019, Introduction to Statistics (MSc. in Neuroscience).
- Winter Term 2017/2018, Introduction to Statistics (MSc. in Neuroscience).
Oral Presentations
- B. K. Günhan, May 2019.
Model-based meta-analsi using arm-based models.
Bayes-Pharma (Applied Bayesian Biostatistics Workshop) , Lyon, France.
- B. K. Günhan, March 2019.
Meta-analysis of few studies involving rare events.
DAGStat Conference 2019, Münich, Germany.
- B. K. Günhan, Februay 2019.
Random-effects meta-analysis of few studies involving rare events.
Symposium on meta-analysis of rare events Göttingen, Germany.
- B. K. Günhan, December 2018.
Phase I dose-escalation trials with more than one dosing regimen.
Worksop of the working group Bayes method of the International Biometric Society, German Region, Göttingen, Germany.
- B. K. Günhan, March 2018.
A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations.
64. Biometrisches Kolloquium, IBS, Frankfurt, Germany.
- B. K. Günhan, April 2017.
A design-by-treatment interaction model for network meta-analysis with integrated nested Laplace approximations.
Conference on Methodology for Clinical Trials in Small Populations and Rare Diseases, University of Warwick, Coventry, England (via Skype).
- B. K. Günhan, December 2016.
Network meta-analysis using integrated nested Laplace approximations (INLA).
Worksop of the working group Bayes method of the International Biometric Society, German Region, Mainz, Germany.
Poster Presentations
- B. K. Günhan, S. Weber, A. Serotou, T. Friede, July 2018.
Guiding Phase-I dose-escalation trials with dosing regimen changes.
IBC (International Biometric Conference), Barcelona, Spain.
- B. K. Günhan, C. Röver, T. Friede, June 2018.
Meta-analysis of rare events with few studies.
PSI annual conference (Statisticians in Pharmaceutical Industry), Amsterdam, Holland.
- B. K. Günhan, S. Weber, A. Serotou, T. Friede, October 2017.
Guiding Phase-I dose-escalation trials with dose regimen changes.
Novartis Biostatistics Conference, Basel, Switzerland (Best Poster Award).
Software packages
- B. K. Günhan, 2018.
MetaStan: Bayesian Meta-Analysis via 'Stan'.
Stable version on CRAN: https://CRAN.R-project.org/package=MetaStan.
- B. K. Günhan, 2017.
nmaINLA: Network Meta-Analysis using Integrated Nested Laplace Approximations.
Stable version on CRAN: https://CRAN.R-project.org/package=nmaINLA.
Master Thesis
- B. K. Günhan, Supervised by Prof. Leonhard Held and Dr. Rafael Sauter, February 2016. Network meta-analysis with integrated nested Laplace approximations. University of Zurich, Zurich, Switzerland (Open Access).