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Lynda - Healthcare Analytics: Regression in R - 548702
Lynda - Healthcare Analytics: Regression in R
Linear and logistic regression models can be created using R, the open-source statistical computing software. In this course, biotech expert and epidemiologist Monika Wahi uses the publicly available Behavioral Risk Factor Surveillance Survey (BRFSS) dataset to show you how to perform a forward stepwise modeling process. Monika shows you how to design your research by considering scientific plausibility selecting a hypothesis. Then, she takes you through the steps of preparing, developing, and finalizing both a linear regression model and a logistic regression model. She also shares techniques for how to interpret diagnostic plots, improve model fit, compare models, and more.


Table of Contents

  • Introduction
  • 1. Designing Your Research
  • 2. Preparing for Linear Regression
  • 3. Beginning Linear Regression Modeling
  • 4. Final Linear Regression Modeling
  • 5. Preparing for Logistic Regression
  • 6. Developing the Logistic Regression Model
  • Conclusion
  • Lynda - Healthcare Analytics: Regression in R


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