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Research, AssistanT

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OBJECTIVE

A biostatistician or statistical analyst

SUMMARY:

  • Biostatics and Epidemiology course background
  • Cohort Study, Case - Control Study, Cross-Sectional Study
  • Clinical Trial
  • Statistical Methods and Modeling

SKILLS:

Multivariate Statistics: Linear Regression, Cluster Analysis, Survival Analysis, ANOVA.

Discrete Choice models: Logistic Model, Poisson Model, Weibull model and Probit model.

Simulation method: Bootstrap and Markov Chain Monte Carlo Survival Analysis, Cure model, Longitudial Model, High-dimensional data analysis, Baysian data analysis

Computer skill: Proficient in R, SAS, Stata, Good in Mathematica, MATLAB, C, C++, LaTex, Microsoft Office, Microsoft Excel, Microsoft Powerpoint, SQL

PROJECT EXPERIENCE:

Research Assistant

Confidential

Responsibilities:

  • Model selection for Benchmark Analysis in Quantitative Risk Assessment.
  • Optimization in non-linear models in iPlant Collaborative.
  • Using Geiger package in R and nlm function to test patterns of character evolution survival analysis on the life predict of pediatric liver transplant patients at the university of Minnesota hospital
  • A Credit Scoring Model by Logistic Regression

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