Christian Röver

Dr. Christian Röver

Leitung der Servicegruppe "Systematische Reviews und Meta-Analysen"

Telefon: +49 551 3964405

Telefax: +49 551 3965605

E-Mail: christian.roever(at)med.uni-goettingen.de

Internetseite: www.gwdg.de/~croever

Ort: Humboldtallee 32, EG, 157

ORCID iD: orcid.org/0000-0002-6911-698X

Porträt von Dr. Christian Röver, Institut für Medizinische Statistik

Kurzer Lebenslauf

[seit 2012]
Wissenschaftlicher Mitarbeiter, Abteilung Medizinische Statistik, UMG, Göttingen

[2007 - 2011]
Wissenschaftlicher Mitarbeiter, Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut), Hannover

[2004 - 2007]
Promotion an der University of Auckland, Auckland, Neuseeland

[2000 - 2001]
Zwei Auslandssemester an der Iowa State University, Ames, Iowa, USA

[1997 - 2004]
Studium der Statistik mit Nebenfach Biologie, Universität Dortmund

Forschungsinteressen

Bayes-Methoden
Metaanalyse
statistische Programmierung
Markov chain Monte Carlo (MCMC) Verfahren

Publikationen

Hier ist eine Liste meiner arXiv-Preprints, und mein ORCID-Eintrag.

24.10.2024
2024
Treatment effect modiﬁers of immunotherapies for relapsing-remitting multiple sclerosis— A systematic review and meta-analysis.
Heesen C, Röver C, Salem S, Heinz J, Chard D, Rio J, Fittipaldo AV, Lehnert T, Köpke S, Solari A, Sormani MP, Friede T, Rahn AC (2024). MSJ - Experimental, Translational and Clinical 10: 20552173241274618. DOI: 10.1177/20552173241274618.
02.09.2024
2024
Investigating the Heterogeneity of “Study Twins”.
Röver C, Friede T (2024). Biometrical Journal 66: e202300387. DOI: 10.1002/bimj.202300387.
01.05.2024
2024
How trace plots help interpret meta-analysis results.
Röver C, Rindskopf D, Friede T (2024). Res Synth Methods 15: 413-429. DOI: 10.1002/jrsm.1693.
01.03.2024
2024
Bayesian random-effects meta-analysis with empirical heterogeneity priors for application in health technology assessment with very few studies.
Lilienthal J, Sturtz S, Schürmann C, Maiworm M, Röver C, Friede T, Bender R (2024). Research Synthesis Methods 15: 275-287. DOI: 10.1002/jrsm.1685.
30.06.2023
2023
Summarizing empirical information on between-study heterogeneity for Bayesian random-effects meta-analysis.
Röver C, Sturtz S, Lilienthal J, Bender R, Friede T (2023). Statistics in Medicine 42: 2439-2454. DOI: 10.1002/sim.9731.
24.02.2023
2023
Verknüpfung von randomisierten kontrollierten Studien und Real World Data (Combining randomized controlled trials and real-world data).
Friede T, Röver C, Mathes T (2023). Präv Gesundheitsf. DOI: 10.1007/s11553-023-01016-9.
01.02.2023
2023
Using the bayesmeta R package for Bayesian random-effects meta-regression.
Röver C, Friede T (2023). Comput Methods Programs Biomed 229: 107303. DOI: 10.1016/j.cmpb.2022.107303.
22.07.2022
2022
Double arcsine transform not appropriate for meta-analysis.
Röver C, Friede T (2022). Research Synthesis Methods 13: 645-648. DOI: 10.1002/jrsm.1591.
02.07.2022
2022
Reducing antibiotic use in uncomplicated urinary tract infections in adult women: a systematic review and individual participant data meta-analysis.
Kaußner Y, Röver C, Heinz J, Hummers E, Debray TPA, Hay AD, Heytens S, Vik I, Little P, Moore M, Stuart B, Wagenlehner F, Kronenberg A, Ferry S, Monsen T, Lindbæk M, Friede T, Gágyor I (2022). Clinical Microbiology and Infection 28: 1558-1566. DOI: 10.1016/j.cmi.2022.06.017.
01.07.2022
2022
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.
Lehnert T, Röver C, Köpke S, Rio J, Chard D, Fittipaldo AV, Friede T, Heesen C, Rahn AC (2022). Systematic Reviews 11: 134. DOI: 10.1186/s13643-022-01997-2.
05.06.2022
2022
A straightforward meta-analysis approach for oncology phase I dose-finding studies.
Röver C, Ursino M, Friede T, Zohar S (2022). Statistics in Medicine 41: 3915-3940. DOI: 10.1002/sim.9484.
07.03.2022
2022
COPD mortality and exacerbations in the placebo group of clinical trials over two decades: a systematic review and meta-regression.
Andreas S, Röver C, Heinz J, Taube C, Friede T (2022). ERJ Open Research 8: 00261-2021. DOI: 10.1183/23120541.00261-2021.
02.02.2022
Preprint
MetaStan: An R package for Bayesian (model-based) meta-analysis using Stan.
Günhan BK, Röver C, Friede T (2022).
18.03.2021
2021
Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors.
Ursino M, Röver C, Zohar S, Friede T (2021). Annals of Applied Statistics 15: 174-193.
25.02.2021
2021
Bounds for the weight of external data in shrinkage estimation.
Röver C, Friede T (2021). Biometrical Journal 63: 1131-1143.
09.02.2021
2021
Cytoplasmic synthesis of endogenous Alu complementary DNA via reverse transcription and implications in age-related macular degeneration.
Fukuda S, Varshney A, Fowler BJ, [...], Röver C, Parang K, Kerur N, Liu J, Werner BC, Sutton SS, Sadda SR, Schumann GG, Gelfand BD, Gage FH, Ambati J (2021). Proc Natl Acad Sci U S A. 118: e2022751118. DOI: 10.1073/pnas.2022751118.
24.01.2021
2021
On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis.
Röver C, Bender R, Dias S, Schmid CH, Schmidli H, Sturtz S, Weber S, Friede T (2021). Research Synthesis Methods 12: 448-474. DOI: 10.1002/jrsm.1475.
15.12.2020
2020
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.
NGAL Meta-Analysis Investigator Group, Albert C, Zapf A, Haase M, Röver C, [...], Heinz J, Haase-Fielitz A (2020). American Journal of Kidney Diseases 76: 826-841. DOI: 10.1053/j.ajkd.2020.05.015.
17.08.2020
2020
Repeating non-invasive risk stratification improves prediction of outcome in ICD patients.
Vandenberk B, Floré V, Röver C, Vos M, Friede T, Flevari P, Zabel M, Willems R (2020). Annals of Noninvasive Electrocardiology.
15.06.2020
2020
Dynamically borrowing strength from another study through shrinkage estimation.
Röver C, Friede, T (2020). Statistical Methods in Medical Research 29: 293-308.
15.06.2020
2020
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.
Heinz J, Röver C, Furaijat G, Kaußner Y, Hummers E, Debray TPA, Hay AD, Heytens S, Vik I, Little P, Moore M, Stuart B, Wagenlehner F, Kronenberg A, Ferry S, Monsen T, Lindbaek M, Friede T, Gágyor I (2020). BMJ Open 10: e035883. DOI: 10.1136/bmjopen-2019-035883.
15.06.2020
2020
Repurposing anti-inflammasome NRTIs for improving insulin sensitivity and reducing type 2 diabetes development.
Ambati J, Magagnoli J, Leung H, Wang SB, Andrews CA, Pandey A, Sahu A, Narendran S, Hirahara S, Fukada S, Sun S, Pandya L, Ambati M, Pereira F, Varshney A, Cummings T, Hardin JW, Edun B, Bennett CL, Ambati K, Fowler BJ, Kerur K, Röver C, Leitinger N, Werner BC, Stein JD, Sutton SS, Gelfand BD (2020). Nature Communications 11: 4737. DOI: 10.1038/s41467-020-18528-z.
15.06.2020
2020
Discussion on the meeting on 'Signs and sizes: understanding and replicating statistical findings'.
Friede T, Röver C (2020). Journal of the Royal Statistical Society A 183: 454.
27.04.2020
2020
Bayesian random-effects meta-analysis using the bayesmeta R package.
Röver C (2020). Journal of Statistical Software 93: 1–51.
15.12.2019
2019
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.
Zabel M, Schlögl S, Lubinski A, Svendsen J, Bauer A, Arbelo E, Brusich S, Conen D, Cygankiewicz I, Dommasch M, Flevari P, Galuszka J, Katsimardos A, Hansen J, Hasenfuss G, Hatala R, Huikuri H, Kentta T, Kuczejko T, Haarmann H, Harden M, Iovev S, Kääb S, Kaliska G, Kasprzak JD, Qavoq D, Luthje L, Malik M, Novotny T, Pavlovic N, Perge P, Röver C, Schmidt G, Shalganov T, Sritharan R, Svetlosak M, Sallo Z, Szavits‑Nossan J, Traykov V, Vandenberk B, Velchev V, Vos M, Willich SN, Friede T, Willems R,…
15.09.2019
2019
Sarcopenia as Prognostic Factor in Lung Cancer Patients: A Systematic Review and Meta-analysis.
Buentzel J, Heinz J, Bleckmann A, Bauer C, Röver C, Bohnenberger H, Saha S, Hinterthaner M, Baraki H, Kutschka I, Emmert A (2019). Anticancer Research 39: 4603-4612. DOI: 10.21873/anticanres.13640.
16.08.2019
2019
Decline of COPD exacerbations in clinical trials over two decades - a systematic review and meta-regression.
Andreas S, Röver C, Heinz J, Straube S, Watz H, Friede T (2019). Respiratory Research 20:186. DOI: 10.1186/s12931-019-1163-2.
15.06.2019
2019
Random-effects meta-analysis of few studies involving rare events.
Günhan BK, Röver C, Friede T (2019). Research Synthesis Methods. DOI: 10.1002/jrsm.1370
15.06.2019
2019
Model averaging for robust extrapolation in evidence synthesis.
Röver C, Wandel S, Friede T (2019). Statistics in Medicine 38: 674–694.
11.01.2019
2019
Likelihood-based random-effects meta-analysis with few studies: Empirical and simulation studies.
Seide SE, Röver C, Friede T (2019). BMC Medical Research Methodology 19: 16.
15.12.2018
2018
Data on differential multivariable risk prediction of appropriate shock vs. competing mortality.
Bergau L, Willems R, Sprenkeler DJ, Fischer TH, Flevari P, Hasenfuß G, Katsaras D, Kirova A, Lehnart SE, Lüthje L, Röver C, Seegers J, Sossalla S, Dunnink A, Sritharan R,. Tuinenburg AE, Vandenberk B, Vos MA, Wijers SC, Friede T, Zabel M (2018). Data in Brief 21: 2110–2116. DOI: 10.1016/j.dib.2018.11.025.
01.12.2018
2018
Differential multivariable risk prediction of appropriate shock versuse competing mortality – A prospective cohort study to estimate benefits from ICD therapy.
Bergau L, Willems R, Dunnink A, Tuinenburg AE, Flevari P, Vos MA, Vandenberk B, Wijers SC, Katsaras D, Lüthje L, Seegers J, Sossalla ST, Fischer TH, Röver C, Lehnart SE, Hasenfuß G, Friede T, Zabel M (2018). International Journal of Cardiology 272: 102–107.
17.09.2018
2018
Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?": A Bayesian perspective.
Röver C, Friede T (2018). Biometrical Journal 60: 1068-1070.
15.06.2018
2018
Meta-analysis data extracted from IQWiG publications.
Seide SE, Röver C, Friede T (2018). Göttingen Research Online. DOI: 10.25625/bwybnk.
15.06.2018
2018
Recent advances in methodology for clinical trials in small populations: the InSPiRe project.
Friede T, Posch M, Zohar S, Alberti C, Benda N, Comets E, Day S, Dmitrienko A, Graf A, Gunhan B, Hee SW, Lentz F, Madan J, Miller F, Ondra T, Pearce M, Röver C, Toumazi A, Unkel S, Ursino M, Wassmer G, Stallard N (2018). Orphanet Journal of Rare Diseases 13: 186.
29.06.2017
2017
Robotic versus thoracoscopic thymectomy: The current evidence.
Büntzel J, Heinz J, Hinterthaner M, Schöndube FA, Straube C, Röver C, Emmert A (2017). The International Journal of Medical Robotics and Computer Assisted Surgery 13: e1847. DOI: 10.1002/rcs.1847.
15.06.2017
2017
Meta-analysis of few small studies in orphan diseases.
Friede T, Röver C, Wandel S, Neuenschwander B (2017). Research Synthesis Methods 8: 79–91.
15.06.2017
2017
Meta-analysis of two studies in the presence of heterogeneity with applications in rare diseases.
Friede T, Röver C, Wandel S, Neuenschwander B (2017). Biometrical Journal 59: 658–671.
15.06.2017
2017
Robotic versus thoracoscopic lung resection: A systematic review and meta-analysis.
Emmert A, Straube C, Büntzel J, Röver C (2017). Medicine 96: e7633.
15.06.2017
2017
Thymectomy via open surgery or robotic video assisted thoracic surgery: Can a recommendation already be made?
Büntzel J, Straube C, Heinz J, Röver C, Beham A, Emmert A, Hinterthaner M, Danner BC, Emmert A (2017). Medicine 96: e7161.
07.04.2017
2017
Using phase II data for the analysis of phase III studies: an application in rare diseases.
Wandel S, Neuenschwander B, Röver C, Friede T (2017). Clinical Trials 14: 277-285.
11.01.2017
2017
Discrete approximation of a mixture distribution via restricted divergence.
Röver C, Friede T (2017). Journal of Computational and Graphical Statistics 26: 217-222.
21.10.2016
2016
Improved analysis of GW150914 using a fully spin-precessing waveform model.
Abbott BP, Röver C et al. (2016). Physical Review X 6: 041014.
12.09.2016
2016
Gender differences in appropriate shocks and mortality among patients with primary prophylactic implantable cardioverter-defibrillators: Systematic review and meta-analysis.
Conen D, Arendacka B, Röver C, Bergau L, Munoz P, Wijers S, Sticherling C, Zabel M, Friede T (2016). PLoS ONE 11: e0162756.
15.06.2016
2016
Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data.
Röver C, Andreas S, Friede T (2016). Biometrical Journal 58: 170-185.
14.06.2016
2016
Properties of the binary black hole merger GW150914.
Abbott BP, Röver C et al. (2016). Physical Review Letters 116: 241102. DOI: 10.1103/PhysRevLett.116.241102.
20.02.2016
2016
Systematic reviews in paediatric multiple sclerosis and Creutzfeldt-Jakob disease exemplify shortcomings in methods used to evaluate therapies in rare conditions.
Unkel S, Röver C, Stallard N, Benda N, Posch M, Zohar S, Friede T (2016). Orphanet Journal of Rare Diseases 11: 16.
01.09.2015
2015
Changing EDSS progression in placebo cohorts in relapsing MS: A systematic review and meta-regression.
Röver C, Nicholas R, Straube S, Friede T (2015). PLoS ONE 10: e0137052.
15.07.2015
2015
Efficacy of treatments for anxiety disorders: a meta-analysis.
Bandelow B, Reitt M, Röver C, Michaelis S, Görlich Y, Wedekind D (2015). International Clinical Psychopharmacology 30: 183–192.
06.02.2015
2015
Parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library.
Veitch J. et al. (2015). Physical Review D 91:042003.
21.01.2015
2015
Extensive acute axonal damage in pediatric multiple sclerosis lesions.
Pfeifenbring S, Bunyan RF, Metz I, Röver C, Huppke P, Gärtner J, Lucchinetti CF, Brück W (2015). Annals of Neurology 77: 655–667.
27.10.2014
2014
Predictability of IL-28B-polymorphism on protease-inhibitor-based triple-therapy in chronic HCV-genotype-1 patients: A meta-analysis.
Mechie NC, Röver C, Cameron S, Amanzada A (2014). World Journal of Hepatology 6: 759–765.
04.10.2014
2014
Interleukin-2 Receptor Antagonists for Pediatric Liver Transplant Recipients: A Systematic Review and Meta-Analysis of Controlled Studies.
Crins ND, Röver C, Goralczyk AD, Friede T (2014). Pediatric Transplantation 18: 839-850.
04.06.2014
2014
Remote magnetic navigation for circumferential pulmonary vein ablation: single-catheter technique or additional use of a circular mapping catheter?
Vollmann D, Lüthje L, Seegers J, Sohns C, Sosalla S, Sohns J, Röver C, Hasenfuß G, Zabel M (2014). Journal of Interventional Cardiac Electrophysiology 41: 65–73.
18.04.2014
2014
Reconstructing the sky location of gravitational-wave detected compact binary systems: Methodology for testing and comparison.
Sidery T, Aylott B, Christensen N, Farr B, Farr W, Feroz F, Gair J, Grover K, Graff P, Hanna C, Kalogera V, Mandel I, O’Shaughnessy R, Pitkin M, Price L, Raymond V, Röver C, Singer L, van der Sluys M, Smith RJE, Vecchio A, Veitch J, Vitale S (2014). Physical Review D 89: 084060.
04.09.2013
2013
Parameter estimation for compact binary coalescence signals with the first generation gravitational-wave detector network.
Aasi J et al. (2013). Physical Review D 88: 062001.
07.03.2013
2013
Explaining temporal trends in annualised relapse rates in placebo groups of randomised controlled trials in relapsing multiple sclerosis: systematic review and meta-regression.
Steinvorth SM, Röver C, Schneider S, Nicholas R, Straube S, Friede T (2013). Multiple Sclerosis Journal 19: 1580–1586.
25.06.2012
2012
Bayesian inference on EMRI signals using low frequency approximations
A. Ali, N. Christensen, R. Meyer, C. Röver (2012). Classical and Quantum Gravity, 29(14):145014.
19.04.2012
2012
Search for gravitational waves from low mass compact binary coalescence in LIGO’s sixth science run and Virgo’s science runs 2 and 3.
J. Abadie et al. (2012). Physical Review D, 85(8):082002.
28.12.2011
2011
Student-t based filter for robust signal detection
C. Röver (2011). Physical Review D, 84(12):122004.
15.06.2011
2011
Modelling coloured residual noise in gravitational-wave signal processing
C. Röver, R. Meyer, N. Christensen (2011). Classical and Quantum Gravity, 28(1):015010.
15.06.2011
2011
Degrees-of-freedom estimation in the Student-t noise model.
C. Röver (2011). Technical Report LIGO-T100497, LIGO-Virgo Collaboration.
15.06.2011
2011
Bayesian versus frequentist upper limits
C. Röver, C. Messenger, R. Prix (2011). 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.
16.12.2010
2010
Bayesian parameter estimation in the second LISA Pathfinder mock data challenge.
M. Nofrarias, C. Röver, M. Hewitson, A. Monsky, G. Heinzel, K. Danzmann, L. Ferraioli, M. Hueller, S. Vitale (2010). Phys. Rev. D 82. doi.org/10.1103/PhysRevD.82.122002.
15.06.2010
2010
Random template placement and prior information.
C. Röver (2010). Journal of Physics: Conference Series, 228(1):012008.
10.05.2010
2010
The effects of LIGO detector noise on a 15-dimensional Markov-chain Monte Carlo analysis of gravitational-wave signals.
V. Raymond, M. V. van der Sluys, I. Mandel, V. Kalogera, C. Röver, N. Christensen. (2010). Classical and Quantum Gravity, 27(11):114009.
17.11.2009
2009
Bayesian reconstruction of gravitational wave burst signals from simulations of rotating stellar core collapse and bounce.
C. Röver, M.-A. Bizouard, N. Christensen, H. Dimmelmeier, I. S. Heng, R. Meyer (2009). Physical Review D, 80(10):102004.
06.10.2009
2009
Parameter estimation for signals from compact binary inspirals injected into LIGO data.
M. van der Sluys, I. Mandel, V. Raymond, V. Kalogera, C. Röver, N. Christensen (2009). Classical and Quantum Gravity, 26(20):204010.
03.08.2009
2009
Testing gravitational-wave searches with numerical relativity waveforms: results from the first Numerical INJection Analysis (NINJA) project.
B. Aylott, et al. (2009). Classical and Quantum Gravity, 26(16):165008.
15.06.2009
2009
Bayesian parameter estimation in MDC2 release 3 (MDC2r3).
M. Nofrarias, C. Röver (2009). Technical Note S2-AEI-TN-3064, Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut).
19.05.2009
2009
Classical and Quantum Gravity Degeneracies in sky localization determination from a spinning coalescing binary through gravitational wave observations: a Markov-chain Monte Carlo analysis for two detectors.
V. Raymond, M. V. van der Sluys, I. Mandel, V. Kalogera, C. Röver, N. Christensen (2009). Classical and Quantum Gravity, 26(11):114007.
19.05.2009
2009
Classical and Quantum Gravity Status of NINJA: the Numerical INJection Analysis project.
B. Aylott, et al. (2009). Classical and Quantum Gravity, 26(11):114008.
23.10.2008
2008
Gravitational-Wave Astronomy with Inspiral Signals of Spinning Compact-Object Binaries.
M. V. van der Sluys, C. Röver, A. Stroeer, N. Christensen, V. Kalogera, R. Meyer, A. Vecchio (2008). The Astrophysical Journal Letters, 688:L61–L64.
02.09.2008
2008
Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo.
M. van der Sluys, V. Raymond, I. Mandel, C. Röver, N. Christensen, V. Kalogera, R. Meyer, A. Vecchio (2008). Classical and Quantum Gravity, 25(18):184011.
15.05.2008
2008
Report on the second Mock LISA data challenge.
S. Babak et al. (2008). Classical and Quantum Gravity, 25(11):114034.

Dr. Christian Röver

Kurzer Lebenslauf

Forschungsinteressen

Publikationen

24.10.2024

Treatment effect modiﬁers of immunotherapies for relapsing-remitting multiple sclerosis— A systematic review and meta-analysis.

02.09.2024

Investigating the Heterogeneity of “Study Twins”.

01.05.2024

How trace plots help interpret meta-analysis results.

01.03.2024

Bayesian random-effects meta-analysis with empirical heterogeneity priors for application in health technology assessment with very few studies.

30.06.2023

Summarizing empirical information on between-study heterogeneity for Bayesian random-effects meta-analysis.

24.02.2023

Verknüpfung von randomisierten kontrollierten Studien und Real World Data (Combining randomized controlled trials and real-world data).

01.02.2023

Using the bayesmeta R package for Bayesian random-effects meta-regression.

22.07.2022

Double arcsine transform not appropriate for meta-analysis.

02.07.2022

Reducing antibiotic use in uncomplicated urinary tract infections in adult women: a systematic review and individual participant data meta-analysis.

01.07.2022

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.

05.06.2022

A straightforward meta-analysis approach for oncology phase I dose-finding studies.

07.03.2022

COPD mortality and exacerbations in the placebo group of clinical trials over two decades: a systematic review and meta-regression.

02.02.2022

MetaStan: An R package for Bayesian (model-based) meta-analysis using Stan.

18.03.2021

Random-effects meta-analysis of phase I dose-finding studies using stochastic process priors.

25.02.2021

Bounds for the weight of external data in shrinkage estimation.

09.02.2021

Cytoplasmic synthesis of endogenous Alu complementary DNA via reverse transcription and implications in age-related macular degeneration.

24.01.2021

On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis.

15.12.2020

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.

17.08.2020

Repeating non-invasive risk stratification improves prediction of outcome in ICD patients.

15.06.2020

Dynamically borrowing strength from another study through shrinkage estimation.

15.06.2020

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.

15.06.2020

Repurposing anti-inflammasome NRTIs for improving insulin sensitivity and reducing type 2 diabetes development.

15.06.2020

Discussion on the meeting on 'Signs and sizes: understanding and replicating statistical findings'.

27.04.2020

Bayesian random-effects meta-analysis using the bayesmeta R package.

15.12.2019

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.

15.09.2019

Sarcopenia as Prognostic Factor in Lung Cancer Patients: A Systematic Review and Meta-analysis.

16.08.2019

Decline of COPD exacerbations in clinical trials over two decades - a systematic review and meta-regression.

15.06.2019

Random-effects meta-analysis of few studies involving rare events.

15.06.2019

Model averaging for robust extrapolation in evidence synthesis.

11.01.2019

Likelihood-based random-effects meta-analysis with few studies: Empirical and simulation studies.

15.12.2018

Data on differential multivariable risk prediction of appropriate shock vs. competing mortality.

01.12.2018

Differential multivariable risk prediction of appropriate shock versuse competing mortality – A prospective cohort study to estimate benefits from ICD therapy.

17.09.2018

Contribution to the discussion of "When should meta-analysis avoid making hidden normality assumptions?": A Bayesian perspective.

15.06.2018

Meta-analysis data extracted from IQWiG publications.

15.06.2018

Recent advances in methodology for clinical trials in small populations: the InSPiRe project.

29.06.2017

Robotic versus thoracoscopic thymectomy: The current evidence.

15.06.2017

Meta-analysis of few small studies in orphan diseases.

15.06.2017

Meta-analysis of two studies in the presence of heterogeneity with applications in rare diseases.