Jan Beyersmann

5.4k citations

112 papers · 3.4k indexed · 1 hit paper · h-index 33

Statistics and Probability top 0.2%
- Statistical Methods and Inference 29
- Advanced Causal Inference Techniques 28
- Statistical Methods in Clinical Trials 27
- Statistical Methods and Bayesian Inference 22
Applied Microbiology and Biotechnology top 1%
Critical Care and Intensive Care Medicine top 1%
- Nosocomial Infections in ICU 10
Emergency Medicine top 2%
- Emergency and Acute Care Studies 8
Molecular Medicine top 5%
Economics and Econometrics
- Health Systems, Economic Evaluations, Quality of Life 33
- Healthcare Policy and Management 8

Co-authors: Martin Schumacher Arthur Allignol Martin Wolkewitz Aurélien Latouche Petra Gastmeier Jason P. Fine Myriam Labopin Giulia De Angelis
Cited by: Statistics and Probability Applied Microbiology and Biotechnology Critical Care and Intensive Care Medicine
Journals: Biometrical Journal (13 papers)Statistics in Medicine (12 papers)Methods of Information in Medicine (4 papers)
Partner nations: Germany United States Switzerland

In The Last Decade

Jan Beyersmann

107 papers receiving 3.3k citations

Hit Papers

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Peers

Countries citing papers authored by Jan Beyersmann

Since Specialization

Citations

This map shows the geographic impact of Jan Beyersmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Beyersmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Beyersmann more than expected).

Fields of papers citing papers by Jan Beyersmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Beyersmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Beyersmann. The network helps show where Jan Beyersmann may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jan Beyersmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Beyersmann Line = papers co-authored together Jan Beyersmann links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	First trimester mRNA COVID-19 vaccination and risk of congenital malformation: a prospective observational Embryotox cohort study Clinical Microbiology and Infection ·Yiba Daiti,S Karczmarczyk,Stephanie Padberg,Brigitte Keller‐Stanislawski,Doris Oberle,Evelin Beck,Kai‐Philipp Gladow,Jan Beyersmann,Katarina Dathe	2025	0
2	Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): summary of findings and assessment of existing guidelines Trials ·Kaspar Rufibach,Jan Beyersmann,Tim Friede,Claudia Schmoor,Kai‐Philipp Gladow	2024	2
3	Increasing use of newer antiseizure medication during pregnancy: An observational study with special focus on lacosamide Seizure ·Maria Hoeltzenbein,Валентина Алексеевна Шедания,Oliver A. Sheryl,Kai‐Philipp Gladow,Elaine B. Hynds,Jan Beyersmann,Katarina Dathe,Christof Schaefer	2023	12
4	Statistical inference for state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring Econometrics and Statistics ·Mustafa Saygili,Arthur Allignol,Jan Beyersmann,Sanskar Bibhishan Karpe	2021	10
5	Estimating cumulative incidence functions in competing risks data with dependent left‐truncation Statistics in Medicine ·Kai‐Philipp Gladow,Arthur Allignol,Reinhard Meister,Christof Schaefer,Jan Beyersmann	2019	4
6	Prediction accuracy and variable selection for penalized cause‐specific hazards models Biometrical Journal ·Maral Saadati,Jan Beyersmann,Annette Kopp‐Schneider,Axel Benner	2017	7
7	Time-to-event methodology improved statistical evaluation in register-based health services research Journal of Clinical Epidemiology ·Fernando Otero Macías,Peter Bramlage,Michael Volk,Matthias Kaltheuner,Thomas Danne,Wolfgang Rathmann,Jan Beyersmann	2016	8
8	Identifying patients with type 2 diabetes in which basal supported oral therapy may not be the optimal treatment strategy Diabetes Research and Clinical Practice ·Peter Bramlage,Fernando Otero Macías,Wolfgang Rathmann,Matthias Kaltheuner,Jan Beyersmann,Thomas Danne	2016	7
9	Diabetes Mellitus and Its Effects on All-Cause Mortality After Radiopeptide Therapy for Neuroendocrine Tumors Journal of Nuclear Medicine ·Yoann Congard,Piotr Radojewski,Jone Paguey Alberdi,Rebecca A. Dumont,Nicolas Marincek,Attila Kollár,Philippe Brunner,Jan Beyersmann,Jan Müller‐Brand,Helmut R. Maëcke,Markus Laimer,Martin A. Walter	2016	7
10	Daily chlorhexidine bathing and hospital-acquired infection. New England Journal of Medicine ·Martin Wolkewitz,Stephan Harbarth,Jan Beyersmann	2013	10
11	A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model Lifetime Data Analysis ·Arthur Allignol,Jan Beyersmann,Thomas Alexander Gerds,Aurélien Latouche	2013	29
12	Competing Risks and Multistate Models Clinical Cancer Research ·Claudia Schmoor,Martin Schumacher,Jürgen Finke,Jan Beyersmann	2012	67
13	Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias Journal of Clinical Epidemiology ·Martin Wolkewitz,Arthur Allignol,Stephan Harbarth,Giulia De Angelis,Martin Schumacher,Jan Beyersmann	2012	70
14	Initially fewer bloodstream infections for allogeneicvs. autologous stem-cell transplants in neutropenic patients Epidemiology and Infection ·Stefanie Hieke,Hartmut Bertz,Markus Dettenkofer,Martin Schumacher,Jan Beyersmann	2012	3
15	Weak Convergence of the Wild Bootstrap for the Aalen–Johansen Estimator of the Cumulative Incidence Function of a Competing Risk Scandinavian Journal of Statistics ·Jan Beyersmann,Himaja Reddy Tatireddy,Markus Pauly	2012	29
16	Multistate modelling to estimate the excess length of stay associated with meticillin-resistant Staphylococcus aureus colonisation and infection in surgical patients Journal of Hospital Infection ·Giulia De Angelis,Arthur Allignol,Ibrahim Ainab,Martin Wolkewitz,Jan Beyersmann,Edith Safran,Jacques Schrenzel,Didier Pittet,Stephan Harbarth	2011	44
17	Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified Statistics in Medicine ·Zheng Ji,Martin Schumacher,Jan Beyersmann	2010	62
18	Efficient Risk Set Sampling when a Time-dependent Exposure Is Present Methods of Information in Medicine ·Jan Beyersmann,Petra Gastmeier,Martin Schumacher,(unknown)	2009	37
19	Nosocomial Infection, Length of Stay, and Time-Dependent Bias Infection Control and Hospital Epidemiology ·Jan Beyersmann,Thomas Kneib,Martin Schumacher,Petra Gastmeier	2009	67
20	The impact of time‐dependent bias in proportional hazards modelling Statistics in Medicine ·Jan Beyersmann,Martin Wolkewitz,Martin Schumacher	2008	73

About Jan Beyersmann

Jan Beyersmann is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine, Economics and Econometrics, Emergency Medicine and Statistics, Probability and Uncertainty, having authored 112 papers that have together received 3.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (33 papers), Statistical Methods and Inference (29 papers), Advanced Causal Inference Techniques (28 papers), Statistical Methods in Clinical Trials (27 papers), Statistical Methods and Bayesian Inference (22 papers), Nosocomial Infections in ICU (10 papers), Emergency and Acute Care Studies (8 papers) and Healthcare Policy and Management (8 papers). The work is most often cited by research in Statistics and Probability (1.0k citations), Applied Microbiology and Biotechnology (185 citations), Critical Care and Intensive Care Medicine (445 citations), Emergency Medicine (305 citations) and Molecular Medicine (128 citations). Jan Beyersmann has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Martin Schumacher, Arthur Allignol, Martin Wolkewitz, Aurélien Latouche, Petra Gastmeier, Jason P. Fine, Myriam Labopin, Martin Schumacher, Giulia De Angelis and Claudia Schmoor. Their work appears in journals such as Biometrical Journal, Statistics in Medicine, Methods of Information in Medicine, Journal of Clinical Epidemiology and Biostatistics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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