| Submitted / in press: |
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C. Röver, T. Friede.
Investigating the heterogeneity of study twins .
(submitted for publication), 2023. |
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C. Röver, D. Rindskopf, T. Friede.
How trace plots help interpret meta-analysis results.
(in press), 2023. |
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T. Friede, C. Röver, T. Mathes.
Verknüpfung von randomisierten kontrollierten Studien und Real World Data.
Prävention und Gesundheitsförderung, 2023. |
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T. Welz, E. Knop, F. Konietschke, J.-H. B. Hardenberg, M. Pauly, C. Röver.
Using meta-analytic priors to incorporate external information for study evaluation.
(submitted for publication), 2022. |
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B. K. Günhan, C. Röver, T. Friede.
MetaStan: An R package for Bayesian (model-based) meta-analysis using Stan.
(submitted for publication), 2022. |
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| Publications: |
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J. Lilienthal, S. Sturtz, C. Schürmann, M. Maiworm, C. Röver, T. Friede, R. Bender.
Bayesian random-effects meta-analysis with empirical heterogeneity priors for application in health technology assessment with very few studies.
Research Synthesis Methods, 15(2):275–287, 2024. |
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A. Zapf, C. Röver.
Metaanalyse.
In: J. Gertheiss, M. Schmid, M. Spindler (eds.):
Moderne Verfahren der Angewandten Statistik.
Springer Spektrum, Berlin, 2024. |
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C. Röver, S. Sturtz, J. Lilienthal, R. Bender, T. Friede.
Summarizing empirical information on between-study heterogeneity for Bayesian random-effects meta-analysis.
Statistics in Medicine, 42(14):2439–2454, 2023. |
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C. Röver, T. Friede.
Using the bayesmeta R package for Bayesian random-effects meta-regression.
Computer Methods and Programs in Biomedicine, 229:107303, 2023. |
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Y. Kaußner, C. Röver, J. Heinz, E. Hummers, T. Debray, A. D. Hay, S. Heytens, I. Vik, P. Little, M. Moore, B. Stuart, F. Wagenlehner, A. Kronenberg, S. Ferry, T. Monsen, M. Lindbæk, T. Friede, I. Gágyor.
Reducing antibiotic use in uncomplicated urinary tract infections in adult women: a systematic review and individual participant data meta-analysis.
Clinical Microbiology and Infection, 28(12):1558–1566, 2022. |
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C. Röver, T. Friede.
Double arcsine transform not appropriate for meta-analysis.
Research Synthesis Methods, 13(5):645–648, 2022. |
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C. Röver, M. Ursino, T. Friede, S. Zohar.
A straighforward meta-analysis approach for oncology phase I dose-finding studies.
Statistics in Medicine, 41(20):3915–3940, 2022. |
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T. Lehnert, C. Röver, S. Köpke, J. Rio, D. Chard, A. V. Fittipaldo, T. Friede, C. Heesen, A. C. Rahn.
Immunotherapy for people with clinically isolated syndrome or relapsing-remitting multiple sclerosis: treatment response by demographic, clinical, and biomarker subgroups (PROMISE) - A systematic review protocol.
Systematic Reviews, 11:134, 2022. |
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S. Andreas, C. Röver, J. Heinz, C. Taube, T. Friede.
COPD mortality and exacerbations in the placebo group of clinical trials over two decades: a systematic review and meta-regression.
ERJ Open Research, 8(1):00261-2021, 2022. |
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C. Röver, R. Bender, S. Dias, C. H. Schmid, H. Schmidli, S. Sturtz, S. Weber, T. Friede.
On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis.
Research Synthesis Methods, 12(4):448–474, 2021. |
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C. Röver, T. Friede.
Bounds for the weight of external data in shrinkage estimation.
Biometrical Journal, 65(5):1131–1143, 2021. |
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M. Ursino, C. Röver, S. Zohar, T. Friede.
Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors.
The Annals of Applied Statistics, 15(1):174–193, 2021. |
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S. Fukuda, et al.
Cytoplasmic synthesis of endogenous Alu complementary DNA via reverse transcription and implications in age-related macular degeneration.
Proceedings of the National Academy of Sciences of the United States of America, 118(6):e2022751118, 2021. |
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B. Vandenberk, V. Flore, C. Röver, M. A. Vos, A. Dunnink, D. Leftheriotis, T. Friede, P. Flevari, M. Zabel, R. Willems.
Repeating noninvasive risk stratification improves prediction of outcome in ICD patients.
Annals of Noninvasive Electrocardiology, 25(6):e12794, 2020. |
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C. Albert, A. Zapf, M. Haase, C. Röver, J. W. Pickering, A. Albert, R. Bellomo, T. Breidthardt, F. Camou, Z. Chen, S. Chocron, D. Cruz, H. R. H. de Geus, P. Devarajan, S. Di Somma, K. Doi, Z. H. Endre, M. Garcia-Alvarez, P. B. Hjortrup, M. Hur, G. Karaolanis, C. Kavalci, H. Kim, P. Lentini, C. Liebetrau, M. Lipcsey, J. Mårtensson, C. Müller, S. Nanas, T. L. Nickolas, C. Pipili, C. Ronco, G. J. Rosa-Diez, A. Ralib, K. Soto, R. C. Braun-Dullaeus, J. Heinz, A. Haase-Fielitz.
Neutrophil gelatinase-associated lipocalin measured on clinical laboratory platforms for the prediction of acute kidney injury and the associated need for dialysis therapy: A systematic review and meta-analysis.
American Journal of Kidney Diseases 76(6):826-841, 2020. |
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J. Heinz, C. Röver, G. Furaijat, Y. Kaußner, E. Hummers, T. Debray, A. D. Hay, S. Heytens, I. Vik, P. Little, M. Moore, B. Stuart, F. Wagenlehner, A. Kronenberg, S. Ferry, T. Monsen, M. Lindbæk, T. Friede, I. Gágyor.
Strategies to reduce antibiotic use in women with uncomplicated urinary tract infection in primary care: protocol of a systematic review and meta-analysis including individual patient data.
BMJ Open, 10:e035883, 2020. |
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J. Ambati, J. Magagnoli, H. Leung, S.-B. Wang, C. A. Andrews, A. Pandey, S. Sahu, S. Narendran, S. Hirahara, S. Fukada, J. Sun, L. Pandya, M. Ambati, F. Pereira, A. Varshney, T. Cummings, J. W. Hardin, B. Edun, C. L. Bennett, K. Ambati, B. J. Fowler, N. Kerur, C. Röver, N. Leitinger, B. C. Werner, J. D. Stein, S. S. Sutton, B. D. Gelfand.
Repurposing anti-inflammasome NRTIs for improving insulin sensitivity and reducing type 2 diabetes development.
Nature Communications, 11:4737, 2020. |
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C. Röver.
Bayesian random-effects meta-analysis using the bayesmeta R package.
Journal of Statistical Software, 93(6):1–51, 2020. |
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T. Friede, C. Röver.
Discussion on the meeting on ‘Signs and sizes: understanding and replicating statistical findings’.
Journal of the Royal Statistical Society A, 183(2):454, 2020. |
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C. Röver, T. Friede.
Dynamically borrowing strength from another study through shrinkage estimation.
Statistical Methods in Medical Research, 29(1):293–308, 2020. |
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B. K. Günhan, C. Röver, T. Friede.
Random-effects meta-analysis of few studies involving rare events.
Research Synthesis Methods, 11(1):74–91, 2020. |
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M. Zabel, S. Schlögl, A. Lubinski, J. H. Svendsen, A. Bauer, E. Arbelo, S. Brusich, D. Conen, I. Cygankiewicz, M. Dommasch, P. Flevari, J. Galiszka, J. Hansen, G. Hasenfuß, R. Hatala, H. V. Huikuri, T. Kenttä, T. Kucejko, H. Haarmann, M. Harden, S. Iovev, S. Kääb, G. Kaliska, A. Katsimardos, J. D. Kasprzak, D. Qavoq, L. Lüthje, M. Malik, T. Novotny, N. Pavlovic, P. Perge, C. Röver, G. Schmidt, T. Shalganov, R. Sritharan, M. Svetlosak, Z. Sallo, J. Szavits-Nossan, V. Traykov, B. Vandenberk, V. Velchev, M. A. Vos, S. N. Willich, T. Friede, R. Willems, B. Merkely, C. Sticherling.
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, 57:S34–S39, 2019. |
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J. Büntzel, J. Heinz, A. Bleckmann, C. Bauer, C. Röver, H. Bohnenberger, S. Saha, M. Hinterthaner, H. Baraki, I. Kutschka, A. Emmert.
Sarcopenia as prognostic factor in lung cancer patients: A systematic review and meta-analysis.
Anticancer Research, 39(9):4603–4612, 2019. |
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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. |
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C. Röver, S. Wandel, T. Friede.
Model averaging for robust extrapolation in evidence synthesis.
Statistics in Medicine, 38(4):674–694, 2019. |
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S. E. Seide, C. Röver, T. Friede.
Likelihood-based random-effects meta-analysis with few studies: Empirical and simulation studies.
BMC Medical Research Methodology, 19:16, 2019. |
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S. E. Seide, C. Röver, T. Friede.
Meta-analysis data extracted from IQWiG publications.
Göttingen Research Online, DOI: 10.25625/bwybnk, 2018. |
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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. |
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T. Friede, M. Posch, S. Zohar, C. Alberti, N. Benda, E. Comets, S. Day, A. Dimitrienko, A. Graf, B. K. Günhan, S. W. Hee, F. Lentz, J. Madan, F. Miller, T. Ondra, M. Pearce, C. Röver, A. Toumazi, S. Unkel, M. Ursino, G. Wassmer, N. Stallard.
Recent advances in methodology for clinical trials in small populations: the InSPiRe project.
Orphanet Journal of Rare Diseases, 13:186, 2018. |
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L. Bergau R. Willems, D. J. Sprenkeler, T. H. Fischer, P. Flevari, G. Hasenfuß, D. Katsaras, A. Kirowa, S. E. Lehnart, L. Lüthje, C. Röver, J. Seegers, S. Sosalla, A. Dunnink, R. Sritharan, A. E. Tuinenburg, B. Vandenberk, M. A. Vos, S. C. Wijers, T. Friede, M. Zabel.
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. |
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L. Bergau R. Willems, D. J. Sprenkeler, T. H. Fischer, P. Flevari, G. Hasenfuß, D. Katsaras, A. Kirowa, S. E. Lehnart, L. Lüthje, C. Röver, J. Seegers, S. Sosalla, A. Dunnink, R. Sritharan, A. E. Tuinenburg, B. Vandenberk, M. A. Vos, S. C. Wijers, T. Friede, M. Zabel.
Data on differential multivariable risk prediction of appropriate shock versus competing mortality.
Data in Brief, 21:2110–2116, 2018. |
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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. |
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A. Emmert, C. Straube, J. Büntzel, C. Röver.
Robotic versus thoracoscopic lung resection: A systematic review and meta-analysis.
Medicine, 96(35):e7633, 2017. |
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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. |
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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. |
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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. |
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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.
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C. Röver, T. Friede.
Discrete approximation of a mixture distribution via restricted divergence.
Journal of Computational and Graphical Statistics, 26(1):217–222, 2017.
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B. P. Abbott et al.
Improved analysis of GW150914 using a fully spin-precessing waveform model.
Physical Review X, 6(4):041014, 2016. |
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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. |
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B. P. Abbott et al.
Properties of the binary black hole merger GW150914.
Physical Review Letters, 116(24):241102, 2016. |
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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.
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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. |
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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. |
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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. |
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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. |
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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. |
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J. Veitch, V. Raymond, B. Farr, W. Farr, P. Graff, S. Vitale, B. Aylott, K. Blackburn, N. Christensen, M. Coughlin, W. Del Pozzo, F. Feroz, J. Gair, C.-J. Haster, V. Kalogera, T. Littenberg, I. Mandel, R. O'Shaughnessy, M. Pitkin, C. Rodriguez, C. Röver, T. Sidery, R. Smith, M. van der Sluys, A. Vecchio, W. Vousden, L. Wade.
Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library.
Physical Review D, 91(4):042003, 2015. |
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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. |
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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. |
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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. |
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T. Sidery, B. Aylott, N. Christensen, B. Farr, W. Farr, F. Feroz, J. Gair, K. Grover, P. Graff, C. Hanna, V. Kalogera, I. Mandel, R. O'Shaughnessy, M. Pitkin, L. Price, V. Raymond, C. Röver, L. Singer, M. van der Sluys, R. J. E. Smith, A. Vecchio, J. Veitch, S. Vitale.
Reconstructing the sky location of gravitational-wave detected compact binary systems: methodology for testing and comparison.
Physical Review D, 89(8):084060, 2014. |
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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. |
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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. |
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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. |
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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. |
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C. Röver.
A Student-t based filter for robust signal detection.
Physical Review D, 84(12):122004, 2011. |
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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. |
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C. Röver.
Degrees-of-freedom estimation in the Student-t noise model.
Technical Report LIGO-T1100497, LIGO-Virgo Collaboration, 2011. |
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C. Röver, R. Meyer, N. Christensen.
Modelling coloured residual noise in gravitational-wave signal processing.
Classical and Quantum Gravity, 28(1):015010, 2011. |
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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. |
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C. Röver.
Random template placement and prior information.
Journal of Physics: Conference Series, 228(1):012008, 2010. |
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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. |
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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. |
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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. |
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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. |
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L. Cadonati et al.
Status of NINJA: the Numerical INJection Analysis project.
Classical and Quantum Gravity, 26(11):114008, 2009. |
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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. |
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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. |
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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. |
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S. Babak, J. G. Baker, M. J. Benacquista, N. J. Cornish, J. Crowder, C. Cutler, S. L. Larson, T. B. Littenberg, E. K. Porter, M. Vallisneri, A. Vecchio, G. Auger, L. Barack, A. Błaut, E. Bloomer, D. A. Brown, N. Christensen, J. Clark, S. Fairhurst, J. R. Gair, H. Halloin, M. Hendry, A. Jimenez, A. Królak, I. Mandel, C. Messenger, R. Meyer, S. Mohanty, R. Nayak, A. Petiteau, M. Pitkin, E. Plagnol, R. Prix, E. L. Robinson, C. Röver, P. Savov, A. Stroeer, J. Toher, J. Veitch, J.-Y. Vinet, L. Wen, J. T. Whelan, G. Woan.
Report on the second Mock LISA Data Challenge.
Classical and Quantum Gravity, 25(11):114034, 2008. |
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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, G. M. Guidi, A. Viceré, and N. Christensen.
Coherent Bayesian analysis of inspiral signals.
Classical and Quantum Gravity, 24(19):S607–S615, 2007. |
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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. |
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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. |
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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. |
|
|
|
| • |
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. |
|
|
|
| • |
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. |
|
|
|
| • |
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, F. Klefenz, and C. Weihs.
Identification of musical instruments by means of the Hough-transformation.
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.
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. |
|
|
|
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