Descriptive Healthcare Analytics in R

Focused View

4:13:11

0 View

01 - Introduction

01 - Welcome.mp4

00:46

02 - 1. What Is the BRFSS

01 - U.S. risk factors.mp4

05:30

02 - Introduction to the BRFSS.mp4

02:46

03 - More on the BRFSS.mp4

01:50

04 - What is a descriptive BRFSS analysis.mp4

04:57

05 - Cross-sectional analysis in the BRFSS.mp4

03:52

06 - Ethical use of BRFSS data.mp4

04:38

07 - BRFSS resources.mp4

02:25

08 - Choosing R for a BRFSS analysis Some considerations.mp4

03:51

09 - Choosing R for a BRFSS analysis More considerations.mp4

04:14

10 - Installing R.mp4

01:50

11 - Navigating in R.mp4

02:37

12 - Installing the foreign package.mp4

03:08

13 - Installing necessary packages.mp4

03:58

03 - 2. Designing Your Metadata

01 - Uses of a data dictionary.mp4

04:35

02 - How to set up a data dictionary.mp4

03:48

03 - Adding to the data dictionary.mp4

06:13

04 - Understanding confounders.mp4

04:24

05 - Making a web of causation.mp4

06:28

06 - Designing confounders Age and smoking.mp4

04:42

07 - Designing confounders Other demographics.mp4

04:19

08 - Designing confounders Other variables used in analysis.mp4

04:39

04 - 3. Reading in Data and Applying Exclusions

01 - Reading in BRFSS XPT data.mp4

06:57

02 - Naming conventions.mp4

05:38

03 - Keeping native variables.mp4

05:15

04 - Applying the first exclusion.mp4

06:03

05 - Applying the rest of the exclusions.mp4

04:57

06 - Operations in code.mp4

03:52

07 - Making a data reduction diagram.mp4

04:35

08 - Generating exposure.mp4

04:43

09 - Generating outcome variables.mp4

03:32

05 - 4. Preparing for Descriptive Analysis

01 - Generating the age variables.mp4

04:18

02 - Generating the smoking variables.mp4

04:36

03 - Finalizing the analytic data set.mp4

05:46

04 - What is Table 1.mp4

04:26

05 - Reviewing categorical variable distribution.mp4

06:15

06 - Reviewing continuous variable distribution.mp4

06:29

06 - 5. Conducting Descriptive Analysis

01 - Preparing categorical Table 1 shell.mp4

06:10

02 - Preparing continuous Table 1 shell.mp4

02:46

03 - Adding overall frequencies to categorical Table 1.mp4

04:59

04 - Making a frequency macro.mp4

04:08

05 - Adding overall frequencies to continuous Table 1.mp4

03:04

06 - Completing categorical Table 1.mp4

07:07

07 - Completing continuous Table 1.mp4

05:47

07 - 6. Descriptive Analysis Weights and Tests

01 - Three truths about using weights.mp4

04:58

02 - Conducting a descriptive weighted analysis.mp4

07:50

03 - Why conduct bivariate tests.mp4

05:08

04 - Adding categorical bivariate tests to Table 1.mp4

07:17

05 - Introduction to ANOVA and linear regression code.mp4

02:43

06 - Adding continuous bivariate tests to Table 1.mp4

07:25

08 - Conclusion

01 - Review of the metadata.mp4

06:11

02 - Uses of metadata.mp4

05:26

03 - Review of the process.mp4

03:39

04 - Next steps in the BRFSS analysis.mp4

05:41

Description

Analyze behavior and risk using R, the open-source statistical computing software. R provides an environment and a language you can use to analyze data, including the publicly available Behavioral Risk Factor Surveillance Survey (BRFSS) dataset. This course teaches core healthcare data science skills, including epidemiology, as well as how to perform a cross-sectional analysis, set up a data dictionary, develop metadata, determine confounders, apply exclusions, create diagrams, generate continuous and categorical outcome variables, and more. Join biotech expert and epidemiologist Monika Wahi as she first discusses design and ethical considerations, and then takes you through the steps of conducting a descriptive analysis.

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.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Healthcare

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.