Descriptive Healthcare Analytics in R
Offered By: LinkedIn Learning
Course Description
Overview
Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey.
Syllabus
Introduction
- Welcome
- What you should know
- Introduction to the course
- How to use the exercise files
- US risk factors
- Introduction to the BRFSS
- More on the BRFSS
- What is a descriptive BRFSS analysis?
- Cross-sectional analysis in the BRFSS
- Ethical use of BRFSS data
- BRFSS resources
- Choosing R for a BRFSS analysis: Some considerations
- Choosing R for a BRFSS analysis: More considerations
- Installing R
- Navigating in R
- Installing the foreign package
- Installing necessary packages
- Uses of a data dictionary
- How to set up a data dictionary
- Adding to the data dictionary
- Understanding confounders
- Making a web of causation
- Designing confounders: Age and smoking
- Designing confounders: Other demographics
- Designing confounders: Other variables used in analysis
- Reading in BRFSS XPT data
- Naming conventions
- Keeping native variables
- Applying the first exclusion
- Applying the rest of the exclusions
- Operations in code
- Making a data reduction diagram
- Generating exposure
- Generating outcome variables
- Generating the age variables
- Generating the smoking variables
- Finalizing the analytic data set
- What is Table 1?
- Reviewing categorical variable distribution
- Reviewing continuous variable distribution
- Preparing categorical Table 1 shell
- Preparing continuous Table 1 shell
- Adding overall frequencies to categorical Table 1
- Making a frequency macro
- Adding overall frequencies to continuous Table 1
- Completing categorical Table 1
- Completing continuous Table 1
- Three truths about using weights
- Conducting a descriptive weighted analysis
- Why conduct bivariate tests?
- Adding categorical bivariate tests to Table 1
- Introduction to ANOVA and linear regression code
- Adding continuous bivariate tests to Table 1
- Review of the metadata
- Uses of metadata
- Review of the process
- Next steps in the BRFSS analysis
Taught by
Monika Wahi
Related Courses
Intro to StatisticsStanford University via Udacity Introduction to Data Science
University of Washington via Coursera Passion Driven Statistics
Wesleyan University via Coursera Information Visualization
Indiana University via Independent DCO042 - Python For Informatics
University of Michigan via Independent