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jiieunshin/README.md

About Me

I received a Ph.D. in Statistics from the University of Seoul, where my research focused on statistical learning and variable selection. My academic work has also included nonparametric inference, generalized linear models, and model selection.

I am currently working as a researcher in the Department of Biostatistics at the National Cancer Center (NCC), where I develop statistical methodologies and conduct epidemiological and medical research based on public healthcare big data. I pursue research grounded in the practical needs of the field, so I am currently researching methods to estimate causal treatment effects.

Research Interests

  • Variable selection
  • Causal treatment effect estimation
  • Real-world evidence using public healthcare big data

Contact

If you are interested in collaboration or joining my research team, please feel free to contact me at:

jieunstat@gmail.com

Popular repositories Loading

  1. FDRNB FDRNB Public

    (paper) FDR-based categorical variables selection in Naive Bayes classification

    R 1 1

  2. BZINB BZINB Public

    Score tests for bivariate zero-inflated negative binomial regression

    1

  3. Bluehouse Bluehouse Public

    Code for applying transformer model in bluehouse data.

    Jupyter Notebook

  4. personal_project personal_project Public

    Algorithm exercises and presentations

    Jupyter Notebook

  5. myclass myclass Public

  6. SnbClass SnbClass Public

    Forked from mdr56/SnbClass

    R