Download Healthcare Analytics Regression in R

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.

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


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