Join Monika Wahi for an in-depth discussion in this video Introduction to the course, part of Descriptive Healthcare Analytics in R.
- Hello and welcome to this descriptive Health Analytics in R course. My name is Monica Wahee and I'll be your guide. Here's what this course is going to cover, chapter one will explain the data set we're going to use for our healthcare analytics, the behavioral risk factor surveillance system, or BRFSS. In order to do healthcare analytics it's first necessary to completely understand the provenance and attributes of your health data set. Chapter two will explain how to prepare for the analysis. This involves setting up your data dictionary and identifying your confounders.
Basically, you're designing your analysis through designing your Metadata. In chapter three we'll turn to R and begin by reading in data and applying exclusions. Chapter four will begin with an explanation of how to generate analytic variables and also walk you through developing an analytic data set. In addition, we'll review variable distributions. Then chapter five will cover how to conduct a basic descriptive analysis and complete table one. Oh and also explain what I mean when I say table one.
Chapter six will explain first how to use weights in a descriptive analysis. And then we'll show you how to do bivariate tests. If you don't know what bivariate means we'll cover that here too. Finally, I'll conclude the course with some parting thoughts. Thank you for your interest in this course, I hope you enjoy it.
This detailed, practical course is designed to help those in the field of public health, medicine, and data science to edit, analyze, and interpret data. Learn how to code new variables, use the forward-stepwise modeling process, and document your decisions. Find out how to visualize results by generating charts and graphics, and how to add tables and figures to your documentation. This course helps equip you to independently design, develop, and execute a full BRFSS analysis, and even publish your results in scientific publications or journals.
- Reviewing survey data and documentation
- Conducting a BRFSS analysis
- Understanding naming conventions
- Editing variables
- Reviewing distributions
- Generating an analytic dataset
- Developing descriptive statistics to answer prespecified hypotheses
- Preparing publication-worthy tables and plots
Skill Level Advanced
1. What Is the BRFSS?
2. Designing Your Metadata
3. Reading in Data and Applying Exclusions
4. Preparing for Descriptive Analysis
5. Conducting Descriptive Analysis
Making a frequency macro4m 8s
6. Descriptive Analysis: Weights and Tests
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.