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Online R - Nonlinear Regression

  1. Introduction to categorical data analysis:
    • Obtain and interpret relative risk, odds-ratios, and confidence intervals for odds-ratios.
  2. Binary Logit Models I:
    • Fit and interpret a simple and multiple logistic regression model.
    • Assess model fitness & classification rates.
    • Perform model diagnostics & selection.
  3. Survival Analysis
    • Develop nonparametric estimates of the survival function.
    • Fit and interpret Cox Proportional Hazards models.
    • Assess model fitness
No application is required to register for this course.

Hardware Requirements: You must have a computer and some kind of high-speed internet connection – we recommend a 128mbps connection at a minimum. You should also have a headset, preferably with a microphone (you can purchase these for less than $30 at any electronics store), which will allow you to engage in online conversations with professors as needed.

Software Requirements: You will be required to have access to R. R is freely available open source statistical analysis environment. The first course in the online certificate program is an introduction to R. It includes information on downloading and installing R.
Course ID/# : 1886/UANA1015
Fee: $500.00



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