Dr. Can Mert

• Statistical lead of phase 4 prospective observational studies, designing and executing studies using real-world data • Statistical lead and support on developing study designs, sample size calculations, protocol, and statistical analysis plans • Act as an advisor in the conduct and analysis of clinical studies • Apply complex statistical methods such as machine learning, treatment patterns, and propensity score analyses on clinical study and RWE data • Support HTA studies for reimbursement purposes

• Provided statistical support for biomarker discovery and development projects, including study design and data analysis. • Conducted simulation studies to evaluate the performance of statistical methods for biomarker analysis. • Designed and analyzed clinical studies to evaluate biomarker-based diagnostic tests, using statistical methods such as linear regression, logistic regression, and survival analysis. • Developed software tools for biomarker analysis and visualization

• Worked with large-scale administrative and registry data to conduct complex statistical analyses of healthcare utilization, costs, and outcomes. • Designed and implemented statistical models to analyze the effectiveness of healthcare interventions and policies, such as cost-effectiveness analyses and regression models. • Provide insights into healthcare utilization, and identify areas for improvement. • Communicated findings to a variety of audiences, including healthcare professionals, and policymakers

- Monitoring, development, and recording of the medical data of the insured persons in Austria - Application of statistical big data methods - Data mining, data wrangling and quality check of high dimensional data - Statistical analysis of epidemiology and healthcare projects - Analysis of morbidity, prevalence, incidence, and treatment structure of various diseases - Prediction of the diagnosis (ICD codes) of patients by pharmaceuticals (ATC codes)