Nikolas Argiropoulos

Developed and validated SAS and R programs for descriptive and inferential statistics, applying survival analysis, causal inference, and mixed models to large healthcare datasets. Contributed to Statistical Analysis Plans and quality-controlled statistical outputs for accuracy and completeness.

Reviewed study protocols and aligned data collection procedures with protocol requirements across multiple research teams. Provided biostatistical consultation, developed SAPs, and conducted systematic reviews and meta-analyses.

Designed and conducted a pharmacoepidemiological cohort study evaluating GLP-1 agonists' effect on mortality among breast cancer patients with type 2 diabetes. Applied time-conditional propensity score matching and validated hazard ratio estimation in SAS.

Conducted biostatistical analyses of clinical research data, applying generalized linear models and nonparametric statistics in R. Authored statistical methods and results sections for peer-reviewed manuscripts.

Conducted and led biostatistical analyses for four clinical research projects, applying nonparametric and regression models, questionnaire validations, and generalized estimating equations in R. Collaborated in formulating a Statistical Analysis Plan and block randomization schedules.

Executed comprehensive data cleaning procedures, conducted an exploratory factor analysis in R, and prepared tables for a manuscript.

Implemented rigorous data cleaning procedures and conducted comprehensive statistical analyses in R and SAS. Supervised three undergraduate students.

Utilized biostatistical techniques in R to examine data and generated comprehensive written summaries for articles, reports, and presentations. Oversaw database design and maintained data codebooks.

Activities and societies: Coursework included Randomized Clinical Trials, Survival Analysis, Causal Inference, Categorical Data Analysis, longitudinal data analysis, and two terms of Statistical Consultation.

Master's of Science in Statistics (Biostatistics) with coursework in randomized clinical trials, survival analysis, causal inference, and statistical consultation. Thesis focused on GLP-1 agonists and methodological approaches for observational studies.

Bachelor of Arts with a Specialization in Statistics and a Major in Psychology, providing a strong foundation in statistical methods and psychological research.