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  • Duke University
  • Charlotte,NC (Open to Relocate)
  • 01:44 (UTC -04:00)
  • LinkedIn in/pabautista

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PatrickB-cpu/README.md

Patrick (Patricio) Bautista

M.S. Biostatistics & Bioinformatics
Duke University School of Medicine

Biostatistician and Data Analyst with experience in clinical trials, survival analysis, missing data methods, biomarker research, and real-world health data.

Areas of Expertise

  • Clinical Trial Analysis
  • Survival Analysis
  • Missing Data Methods
  • Bayesian Statistics
  • Biomarker Research
  • Statistical Programming
  • Real-World Evidence (RWE)

Technical Skills

Programming: R, Python, SAS, SQL, Git, LaTeX

Statistical Methods:

  • Linear & Logistic Regression
  • Generalized Linear Models
  • Cox Proportional Hazards Models
  • Kaplan-Meier Analysis
  • Mixed Effects Models
  • Multiple Imputation
  • Bayesian Modeling
  • Clinical Trial Methodology

Featured Projects

🚧 Currently building and documenting portfolio projects:

  • HF-ACTION Clinical Trial Biomarker Analysis
  • Survival Analysis in Hepatocellular Carcinoma
  • MIMIC-IV Missing Data Evaluation
  • GeneFind Bioinformatics Python Package
  • Bayesian Regression for Used-Car Pricing

Education

Duke University School of Medicine

  • Master of Biostatistics & Bioinformatics

Appalachian State University

  • B.A. Biology
  • Minor in Statistics

Contact

📧 pab64@duke.edu

💼 LinkedIn: www.linkedin.com/in/pabautista

📍 Charlotte, NC (Open to Relocate)

Popular repositories Loading

  1. GeneFind-Python GeneFind-Python Public

    Python package for identifying open reading frames (ORFs) in DNA sequences, translating proteins, and generating biological insights from genomic data.

  2. PatrickB-cpu PatrickB-cpu Public

    Professional portfolio of biostatistics, clinical research, and data science projects.

  3. hf-action-functional-reserve-analysis hf-action-functional-reserve-analysis Public

    Biomarker analysis and statistical modeling of functional reserve and exercise recovery in the HF-ACTION randomized clinical trial.

  4. CXCl17-Biomarker-Expression-Survival-in-Hepatocellular-Carcinoma CXCl17-Biomarker-Expression-Survival-in-Hepatocellular-Carcinoma Public

    End-to-end survival analysis of hepatocellular carcinoma outcomes using Kaplan-Meier estimation, Cox proportional hazards modeling, diagnostics, and biomarker-based risk assessment in R.

  5. mimic-iv-cvd-imputation-prevent mimic-iv-cvd-imputation-prevent Public

    Evaluation of missing data imputation strategies for cardiovascular risk prediction using MIMIC-IV electronic health records and the AHA PREVENT equation.

  6. bayesian-used-car-price-modeling bayesian-used-car-price-modeling Public

    Bayesian regression analysis of used-car prices using Gibbs sampling, posterior inference, credible intervals, and predictive uncertainty quantification in R.