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, GÃ¶ttingen
[present-08/2016]	Research assistant, Department of Medical Statistics, UMG, GÃ¶ttingen
[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

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.

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. A design-by-treatment interaction model for network meta-analysis and meta-regression with integrated nested Laplace approximations. Research Synthesis Methods, 2018;9:179-194 (Open Access).
T. Friede, M. Posch, S. Zohar, [and 19 others including B. K. Günhan]. Recent advances in methodology for clinical trials in small populations: the InSPiRe project. submitted for publication.

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'. Development version on Github: https://github.com/gunhanb/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).