Area of research
Statistics and Probability · Hematology
Research interest
Research interests include Advanced Causal Inference Techniques, Statistical Methods in Clinical Trials, Multiple Myeloma Research and Treatments, and Chronic Lymphocytic Leukemia Research.
Measurement error and bias in real-world oncology endpoints when constructing external control arms
Comparative Effectiveness of Immune Checkpoint Inhibitors vs Chemotherapy by Tumor Mutational Burden in Metastatic Castration-Resistant Prostate Cancer
Clinical outcomes of COVID-19 in patients with multiple sclerosis treated with ocrelizumab in the pre- and post-SARS-CoV-2 vaccination periods: Insights from Israel
Divergent Patterns and Trends in Breast Cancer Incidence, Mortality and Survival Among Older Women in Germany and the United States
Decreasing Use of Chemotherapy in Older Patients With Stage III Colon Cancer Irrespective of Comorbidities
Incident depression and mortality among people with different types of dementia: results from a longitudinal cohort study
Changes in population‐level survival for advanced solid malignancies with new treatment options in the second decade of the 21st century
Predicting medication-associated altered mental status in hospitalized patients: Development and validation of a risk model
Lifestyle factors and risk of sporadic colorectal cancer by microsatellite instability status: a systematic review and meta-analyses
Long-term heart-specific mortality among 347 476 breast cancer patients treated with radiotherapy or chemotherapy: a registry-based cohort study
A population-based registry study on relative survival from melanoma in Germany stratified by tumor thickness for each histologic subtype
Long-term relative survival from melanoma in Germany 1997–2013
Comparative performance of a modified landmark approach when no time of treatment data are available within oncological databases: exemplary cohort study among resected pancreatic cancer patients
Survival of patients with hepatobiliary tract and duodenal cancer sites in Germany and the United States in the early 21st century
The Association of Potentially Inappropriate Medication at Older Age With Cardiovascular Events and Overall Mortality: A Systematic Review and Meta-Analysis of Cohort Studies
Immortal time bias in pharmacoepidemiological studies on cancer patient survival: empirical illustration for beta-blocker use in four cancers with different prognosis
Pre‐ and post‐diagnostic beta‐blocker use and prognosis after colorectal cancer: Results from a population‐based study
Pre- and post-diagnostic β-blocker use and lung cancer survival: A population-based cohort study
Survival for patients with rare haematologic malignancies: Changes in the early 21st century
Survival of patients with lymphoplasmacytic lymphoma and solitary plasmacytoma in Germany and the United States of America in the early 21 <sup>st</sup> century
Updated Population Based Survival Analysis in Patients with Chronic Myeloid Leukemia: Increased Survival but Continued Disparities for Older Patients
Recent trends in relative survival from melanoma in Germany stratified by age group, T-stage, and histological subtype
Comment on: ‘β Blocker use and mortality in cancer patients: systematic review and meta-analysis of observational studies’ (Zhong et al., 2015; published Epub ahead of print 3 September 2015)
Beta blockers and cancer prognosis – The role of immortal time bias: A systematic review and meta-analysis
Epidemiologische Forschung mit Krebsregisterdaten
Population Level Survival for Patients with Rare Hematologic Malignancies in the United States in the Early 21st Century
Survival of Patients with Rare Plasma Cell or Lymphoplasmacytoid Malignancies in Germany and the United States in the Early 21st Century