Lynda - Healthcare Analytics: Regression in R

Size: 520 MB | Duration: 4h 2m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch

Genre: eLearning | Level: Advanced | Language: English

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