Healthcare Analytics: Regression in R

COURSE

Healthcare Analytics: Regression in R

COURSE
Released
1/19/2017
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.
Topics include:
  • Dealing with scientific plausibility
  • Selecting a hypothesis
  • Interpreting diagnostic plots
  • Working with indexes and model metadata
  • Working with quartiles and ranking
  • Making a working model
  • Improving model fit
  • Performing linear regression modeling
  • Performing logistic regression modeling
  • Performing forward stepwise regression
  • Estimating parameters
  • Interpreting an odds ratio
  • Adding odds ratios to models
  • Comparing nested models
  • Presenting and interpreting the final model
CommunityBlogPartners
© Copyright 2019 GO1 - All Rights Reserved