Transforming biomedical data into clinical insight.
Biostatistician focused on study design, methodology and statistics in ophthalmology. Strong connections to University Medical Center Hamburg-Eppendorf (Germany) and Clínica Baviera (Spain).
I work at the intersection of clinical research and quantitative methods — designing robust studies, building transparent analyses, and communicating results clearly for decision-making.
Clinical & epidemiological study design, causal inference, imaging-based endpoints, and reproducible workflows (R/Python).
Retina, refractive surgery, and cataract — linking imaging and functional outcomes to patient-centered endpoints.
UKE Hamburg-Eppendorf; Clínica Baviera (Spain); private & academic partners.
Modeling the progression speed of lens opacification after pars plana vitrectomy with silicone oil. Predictive modeling using clinical and imaging variables to quantify postoperative changes in lens transparency.
OCT-based classification to support clinical decision-making and surgery timing in RRD.
Real-world analyses of MIOL, RLE and LASIK (safety/efficacy/PROs), including age-stratified and anatomy-aware models.
Automatically fetched from PubMed (author: Druchkiv V). The list updates as new items appear.
Email: druchkivstats@gmail.com
Links: ORCID · Google Scholar · ResearchGate