Area of research
Nuclear and High Energy Physics · Statistics and Probability
Research interest
Research interests include Particle physics theoretical and experimental studies, Statistical Methods in Clinical Trials, High-Energy Particle Collisions Research, and Statistical Methods and Inference.
Investigator-initiated versus industry-sponsored trials – Visibility and relevance of randomized controlled trials in clinical practice guidelines (IMPACT)
Letter to the editor regarding the paper “New weighting methods when cases are only a subset of events in a nested case‐control study” by Qian M. Zhou, Xuan Wang, Yingye Zheng, and Tianxi Cai
Letter to the editor regarding the paper "New weighting methods when cases are only a subset of events in a nested case-control study" by Qian M. Zhou, Xuan Wang, Yingye Zheng, and Tianxi Cai.
Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington's Disease.
Doug Altman: Driving critical appraisal and improvements in the quality of methodological and medical research.
A shared frailty model for multivariate longitudinal data on adverse event of radiation therapy.
On the relation between the cause-specific hazard and the subdistribution rate for competing risks data: The Fine-Gray model revisited.
Netboost: Boosting-Supported Network Analysis Improves High-Dimensional Omics Prediction in Acute Myeloid Leukemia and Huntington’s Disease
Risk of disease recurrence and survival in patients with multiple myeloma: A German Study Group analysis using a conditional survival approach with long-term follow-up of 815 patients.
Dynamic prediction: A challenge for biostatisticians, but greatly needed by patients, physicians and the public.
The population-attributable fraction for time-dependent exposures using dynamic prediction and landmarking.
Which patients to sample in clinical cohort studies when the number of events is high and measurement of additional markers is constrained by limited resources
Comparison of complex modeling strategies for prediction of a binary outcome based on a few, highly correlated predictors.
Impact of Genetic Abnormalities and Measurable Residual Disease Levels on Outcome in Patients with MDS/AML Pre-Emptively Treated with Azacitidine: Correlative Results of the Prospective RELAZA2 Trial
A multi-state model based reanalysis of the Framingham Heart Study: Is dementia incidence really declining?
How Does Empagliflozin Reduce Cardiovascular Mortality? Insights From a Mediation Analysis of the EMPA-REG OUTCOME Trial
Erratum to: Risk of cancer incidence before the age of 15 years after exposure to ionising radiation from computed tomography: results from a German cohort study
The combined association of alcohol consumption with dementia risk is likely biased due to lacking account of death cases
The health and economic burden of bloodstream infections caused by antimicrobial-susceptible and non-susceptible Enterobacteriaceae and Staphylococcus aureus in European hospitals, 2010 and 2011: a multicentre retrospective cohort study
Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information
Identifying Prognostic SNPs in Clinical Cohorts: Complementing Univariate Analyses by Resampling and Multivariable Modeling
Risk of cancer incidence before the age of 15 years after exposure to ionising radiation from computed tomography: results from a German cohort study
Cardiovascular Risk Factors in Central Retinal Artery Occlusion
Predictors of prognosis and treatment outcome in central retinal artery occlusion: local intra-arterial fibrinolysis vs. conservative treatment
Oncologic, Functional, and Complications Outcomes of Robot-assisted Radical Cystectomy with Totally Intracorporeal Neobladder Diversion
Robot‐assisted radical cystectomy ( <scp>RARC</scp> ) with intracorporeal neobladder – what is the effect of the learning curve on outcomes?
Tailoring sparse multivariable regression techniques for prognostic single‐nucleotide polymorphism signatures
Cluster-Localized Sparse Logistic Regression for SNP Data