Burak Kürsad Günhan

PhD Student - WG Clinical Trials

Phone:

0551-39-19716

Telefax:

0551-39-4995

E-Mail:

Office room:

Humboldtallee 32, Floor 3, 3.111

ORCID iD:

Publons iD:

Github:

Website:

Research interests

Brief CV:

[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

B. K. Günhan, S. Weber, A. Seroutou, T. Friede, 2018. Phase I dose-escalation trials with more than one dosing regimen. submitted for publication ( Preprint.).
B. K. Günhan, C. Röver, T. Friede, 2018. Meta-analysis of few studies involving rare events. submitted for publication ( Preprint.).
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 )..

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.

Winter Term 2018/2019, Analysis of Time-to-Event Data (MSc. in Applied Statistics).
Winter Term 2018/2019, Introduction to Statistics (MSc. in Neuroscience).
Winter Term 2017/2018, Introduction to Statistics (MSc. in Neuroscience).

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.

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).

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.

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).