• 
  M. Sc. Studiengang "Applied Statistics"
  German English Application for winter term is possible from April 1st to 15th May of each year!
  
  

Dr. Christian Röver

Research Associate - WG Clinical Trials

Phone:

0551-39-5969

Telefax:

0551-39-4995

E-Mail:

christian.roever@med.uni-goettingen.de

Website:

www.gwdg.de/~croever

Office:

Humboldtallee 32, ground floor 155

ORCID iD:

 orcid.org/0000-0002-6911-698X

Publications

• M. Zabel et al. Present criteria for prophylactic ICD implantation: Insights from the EU-CERT-ICD (Comparative Effectiveness Research to Assess the Use of Primary ProphylacTic Implantable Cardioverter Defibrillators in EUrope) project. Journal of Electrocardiology (in press), 2019. [Preprint]
• M. Ursino, C. Röver, S. Zohar, T. Friede. Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors. (submitted for publication), 2019.
• B. K. Günhan, C. Röver, T. Friede. Meta-analysis of few studies involving rare events. Research Synthesis Methods (in press), 2019. [Preprint]
• C. Röver, T. Friede. Dynamically borrowing strength from another study. Statistical Methods in Medical Research, (in press), 2019. [Preprint]
• C. Röver. Bayesian random-effects meta-analysis using the bayesmeta R package. arXiv preprint 1711.08683 (submitted for publication), 2017.
• S. Andreas, C. Röver, J. Heinz, S. Straube, H. Watz, T. Friede. Decline of COPD exacerbations in clinical trials over two decades – a systematic review and meta-regression. Respiratory Research, 20:186, 2019. [Preprint]
• C. Röver, S. Wandel, T. Friede. Model averaging for robust extrapolation in evidence synthesis. Statistics in Medicine, 38(4):674–694, 2019. [Preprint]
• S. E. Seide, C. Röver, T. Friede. Likelihood-based meta-analysis with few studies: Empirical and simulation studies. BMC Medical Research Methodology, 19:16, 2019. [Preprint]
• S. E. Seide, C. Röver, T. Friede. Meta-analysis data extracted from IQWiG publications. Göttingen Research Online, DOI: 10.25625/bwybnk, 2018.
• C. Röver, T. Friede. Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?": A Bayesian perspective. Biometrical Journal, 60(6):1068–1070, 2018. [Preprint]
• T. Friede et al. Recent advances in methodology for clinical trials in small populations: the InSPiRe project. Orphanet Journal of Rare Diseases, 13:186, 2018. [Preprint]
• L. Bergau et al. Differential multivariable risk prediction of appropriate shock versus competing mortality - A prospective cohort study to estimate benefits from ICD therapy. International Journal of Cardiology, 272:102–107, 2018.
• L. Bergau et al. Data on differential multivariable risk prediction of appropriate shock versus competing mortality. Data in Brief, 21:2110–2116, 2018.
• J. Büntzel, J. Heinz, M. Hinterthaner, F. A. Schöndube, C. Straube, C. Röver, A. Emmert. Robotic versus thoracoscopic thymectomy: the current evidence. The International Journal of Medical Robotics and Computer Assisted Surgery, 13(4):e1847, 2017.
• A. Emmert, C. Straube, J. Büntzel, C. Röver. Robotic versus thoracoscopic lung resection: A systematic review and meta-analysis. Medicine, 96(35):e7633, 2017.
• T. Friede, C. Röver, S. Wandel, B. Neuenschwander. Meta-analysis of two studies in the presence of heterogeneity with applications in rare diseases. Biometrical Journal, 59(4):658–671, 2017. [Preprint]
• J. Büntzel, C. Straube, J. Heinz, C. Röver, A. Beham, A. Emmert, M. Hinterthaner, B. C. Danner, A. Emmert. Thymectomy via open surgery or robotic video assisted thoracic surgery: Can a recommendation already be made?. Medicine, 96(24):e7161, 2017.
• S. Wandel, B. Neuenschwander, C. Röver, T. Friede. Using phase II data for the analysis of phase III studies: an application in rare diseases. Clinical Trials, 14(3):277–285, 2017. [Preprint]
• T. Friede, C. Röver, S. Wandel, B. Neuenschwander. Meta-analysis of few small studies in orphan diseases. Research Synthesis Methods, 8(1):79–91, 2017. [Preprint]
• C. Röver, T. Friede. Discrete approximation of a mixture distribution via restricted divergence. Journal of Computational and Graphical Statistics, 26(1):217–222, 2017. [Preprint]
• B. P. Abbott et al. Improved analysis of GW150914 using a fully spin-precessing waveform model. Physical Review X, 6(4):041014, 2016. [Preprint]
• D. Conen, B. Arendacká, C. Röver, L. Bergau, P. Muñoz, S Wijers, C. Sticherling, M. Zabel, T. Friede. Gender differences in appropriate shocks and mortality among patients with primary prophylactic implantable cardioverter-defibrillators: Systematic review and meta-analysis. PLoS ONE, 11(9):e0162756, 2016. [Preprint]
• B. P. Abbott et al. Properties of the binary black hole merger GW150914. Physical Review Letters, 116(24):241102, 2016. [Preprint]
• S. Unkel, C. Röver, N. Stallard, N. Benda, M. Posch, S. Zohar, T. Friede. Systematic reviews in paediatric multiple sclerosis and Creutzfeldt-Jakob disease exemplify shortcomings in methods used to evaluate therapies in rare conditions. Orphanet Journal of Rare Diseases, 11:16, 2016. [Preprint]
• C. Röver, S. Andreas, T. Friede. Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data. Biometrical Journal, 58(1):170–185, 2016. [Preprint]
• C. Röver, G. Knapp, T. Friede. Hartung-Knapp-Sidik-Jonkman approach and its modification for random-effects meta-analysis with few studies. BMC Medical Research Methodology, 15:99, 2015. [Preprint]
• C. Röver, R. Nicholas, S. Straube, T. Friede. Changing EDSS progression in placebo cohorts in relapsing MS: A systematic review and meta-regression. PLoS ONE, 10(9):e0137052, 2015. [Preprint]
• B. Bandelow, M. Reitt, C. Röver, S. Michaelis, Y. Görlich, D. Wedekind. Efficacy of treatments for anxiety disorders: a meta-analysis. International Clinical Psychopharmacology, 30(4):183–192, 2015.
• S. Pfeifenbring, R. F. Bunyan, I. Metz, C. Röver, P. Huppke, J. Gärtner, C. F. Lucchinetti, W. Brück. Extensive acute axonal damage in pediatric multiple sclerosis lesions. Annals of Neurology, 77(4):655–667, 2015.
• J. Veitch et al. Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library. Physical Review D, 91(4):042003, 2015. [Preprint]
• N. D. Crins, C. Röver, A. D. Goralczyk, T. Friede. Interleukin-2 receptor antagonists for pediatric liver transplant recipients: A systematic review and meta-analysis of controlled studies. Pediatric Transplantation, 18(8):839–850, 2014. [Preprint]
• N.-C. Mechie, C. Röver, S. Cameron, A. Amanzada. Predictability of IL-28B-polymorphism on protease-inhibitor-based triple-therapy in chronic HCV-genotype-1 patients: A meta-analysis. World Journal of Hepatology, 6(10):759–765, 2014. [Preprint]
• D. Vollmann, L. Lüthje, J. Seegers, C. Sohns, S. Sosalla, J. Sohns, C. Röver, G. Hasenfuß, M. Zabel. Remote magnetic navigation for circumferential pulmonary vein ablation: single-catheter technique or additional use of a circular mapping catheter? Journal of Interventional Cardiac Electrophysiology, 41(1):65–73, 2014.
• T. Sidery et al. Reconstructing the sky location of gravitational-wave detected compact binary systems: methodology for testing and comparison. Physical Review D, 89(8):084060, 2014. [Preprint]
• J. Aasi et al. Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network. Physical Review D, 88(6):062001, 2013. [Preprint]
• S. M. Steinvorth, C. Röver, S. Schneider, R. Nicholas, S. Straube, T. Friede. Explaining temporal trends in annualized relapse rates in placebo groups of randomized controlled trials in relapsing multiple sclerosis: systematic review and meta-regression. Multiple Sclerosis Journal, 19(12):1580–1586, 2013. [Preprint]
• A. Ali, N. Christensen, R. Meyer, C. Röver. Bayesian inference on EMRI signals using low frequency approximations. Classical and Quantum Gravity, 29(14):145014, 2012. [Preprint]
• J. Abadie et al. Search for gravitational waves from low mass compact binary coalescence in LIGO's sixth science run and Virgo's science runs 2 and 3. Physical Review D, 85(8):082002, 2012. [Preprint]
• C. Röver. A Student-t based filter for robust signal detection. Physical Review D, 84(12):122004, 2011. [Preprint]
• C. Röver, C. Messenger, R. Prix. Bayesian versus frequentist upper limits. In: H. B. Prosper, L. Lyons (eds.): Proceedings of the PHYSTAT 2011 workshop on statistical issues related to discovery claims in search experiments and unfolding, CERN-2011-006, pp. 158–163, CERN, Geneva, 2011. [Preprint]
• C. Röver. Degrees-of-freedom estimation in the Student-t noise model. Technical Report LIGO-T100497, LIGO-Virgo Collaboration, 2011.
• C. Röver, R. Meyer, N. Christensen. Modelling coloured residual noise in gravitational-wave signal processing. Classical and Quantum Gravity, 28(1):015010, 2011. [Preprint]
• M. Nofrarias, C. Röver, M. Hewitson, A. Monsky, G. Heinzel, K. Danzmann, L. Ferraioli, M. Hueller, S. Vitale. Bayesian parameter estimation in the second LISA Pathfinder Mock Data Challenge. Physical Review D, 82(12):122002, 2010. [Preprint]
• C. Röver. Random template placement and prior information. Journal of Physics: Conference Series, 228(1):012008, 2010. [Preprint]
• V. Raymond, M. V. van der Sluys, I. Mandel, V. Kalogera, C. Röver, N. Christensen. The effects of LIGO detector noise on a 15-dimensional Markov-chain Monte Carlo analysis of gravitational-wave signals. Classical and Quantum Gravity, 27(11):114009, 2010. [Preprint]
• M. Nofrarias, C. Röver. Bayesian parameter estimation in MDC2 release 3 (MDC2r3). Technical Note S2-AEI-TN-3064, Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), 2009.
• C. Röver, M.-A. Bizouard, N. Christensen, H. Dimmelmeier, I. S. Heng, R. Meyer. Bayesian reconstruction of gravitational wave burst signals from simulations of rotating stellar core collapse and bounce. Physical Review D, 80(10):102004, 2009. [Preprint]
• M. van der Sluys, I. Mandel, V. Raymond, V. Kalogera, C. Röver, N. Christensen. Parameter estimation for signals from compact binary inspirals injected into LIGO data. Classical and Quantum Gravity, 26(20):204010, 2009. [Preprint]
• B. Aylott, et al. Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project. Classical and Quantum Gravity, 26(16):165008, 2009. [Preprint]
• B. Aylott, et al. Status of NINJA: the Numerical INJection Analysis project. Classical and Quantum Gravity, 26(11):114008, 2009. [Preprint]
• V. Raymond, M. V. van der Sluys, I. Mandel, V. Kalogera, C. Röver, N. Christensen. Degeneracies in sky localisation determination from a spinning coalescing binary through gravitational wave observations: a Markov-chain Monte-Carlo analysis for two detectors. Classical and Quantum Gravity, 26(11):114007, 2009. [Preprint]
• M. V. van der Sluys, C. Röver, A. Stroeer, N. Christensen, V. Kalogera, R. Meyer, A. Vecchio. Gravitational-wave astronomy with inspiral signals of spinning compact-object binaries. The Astrophysical Journal Letters, 688:L61–L64, 2008. [Preprint]
• M. van der Sluys, V. Raymond, I. Mandel, C. Röver, N. Christensen, V. Kalogera, R. Meyer, A. Vecchio. Parameter estimation of spinning binary inspirals using Markov-chain Monte Carlo. Classical and Quantum Gravity, 25(18):184011, 2008. [Preprint]
• S. Babak et al. Report on the second Mock LISA Data Challenge. Classical and Quantum Gravity, 25(11):114034, 2008. [Preprint]
• C. Röver, R. Meyer, G. M. Guidi, A. Viceré, and N. Christensen. Coherent Bayesian analysis of inspiral signals. Classical and Quantum Gravity, 24(19):S607–S615, 2007. [Preprint]
• C. Röver, A. Stroeer, E. Bloomer, N. Christensen, J. Clark, M. Hendry, C. Messenger, R. Meyer, M. Pitkin, J. Toher, R. Umstätter, A. Vecchio, J. Veitch, G. Woan. Inference on inspiral signals using LISA MLDC data. Classical and Quantum Gravity, 24(19):S521–S527, 2007. [Preprint]
• A. Stroeer, J. Veitch, C. Röver, E. Bloomer, N. Christensen, J. Clark, M. Hendry, C. Messenger, R. Meyer, M. Pitkin, J. Toher, R. Umstätter, A. Vecchio, G. Woan. Inference on white dwarf binary systems using the first round Mock LISA Data Challenges data sets. Classical and Quantum Gravity, 24(19):S541–S549, 2007. [Preprint]
• K. A. Arnaud et al. Report on the first round of the Mock LISA Data Challenges. Classical and Quantum Gravity, 24(19):S529–S539, 2007. [Preprint]
• C. Röver. Bayesian inference on astrophysical binary inspirals based on gravitational-wave measurements, PhD thesis, Department of Statistics, The University of Auckland, New Zealand, 2007.
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• C. Röver, R. Meyer, and N. Christensen. Coherent Bayesian inference on compact binary inspirals using a network of interferometric gravitational wave detectors. Physical Review D, 75(6):062004, 2007. [Preprint]
• C. Röver, R. Meyer, and N. Christensen. Bayesian inference on compact binary inspiral gravitational radiation signals in interferometric data. Classical and Quantum Gravity, 23(15):4895–4906, 2006. [Preprint]
• C. Röver, and G. Szepannek. Application of a genetic algorithm to variable selection in fuzzy clustering. In: C. Weihs, and W. Gaul (eds.), Classification – the ubiquitous challenge; Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation, 674–681, Springer-Verlag, Heidelberg, 2005.
  C. Röver, and G. Szepannek. Application of a genetic algorithm to variable selection in fuzzy clustering. Technical Report 76/2004, SFB 475, Department of Statistics, University of Dortmund, Germany.
• C. Röver, F. Klefenz, and C. Weihs, 2004. Identification of musical instruments by means of the Hough-transform. In: C. Weihs, and W. Gaul (eds.), Classification – the ubiquitous challenge; Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation, 608–615, Springer-Verlag, Heidelberg, 2005.
  C. Röver, F. Klefenz, and C. Weihs. Identification of musical instruments by means of the Hough-transform. Technical Report 67/2004, SFB 475, Department of Statistics, University of Dortmund, Germany, 2004.
• C. Röver. Musikinstrumentenerkennung mit Hilfe der Hough-Transformation, Diploma thesis, Department of Statistics, University of Dortmund, Germany, 2003.
• W. Theis, C. Röver, and B. Pouwels. Implementing a new method for discriminant analysis when group covariance matrices are nearly singular. In: M. Schader, W. Gaul, and M. Vichi (eds.): Between data science and applied data analysis; Proceedings of the 26th annual conference of the Gesellschaft für Klassifikation, 92–99, Springer-Verlag, Heidelberg, 2003.
  W. Theis, C. Röver, and B. Pouwels. Implementing a new method for discriminant analysis when group covariance matrices are nearly singular. Technical Report 62/2002, SFB 475, Department of Statistics, University of Dortmund, Germany, 2002.