Section 1 : Introduction
Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 2 What you should know 00:00:31 Duration
Lecture 3 Introduction to the course 00:01:22 Duration
Lecture 4 How to use the exercise files 00:00:39 Duration

Section 2 : What Is the BRFSS
Lecture 1 US risk factors
Lecture 2 Introduction to the BRFSS 00:02:46 Duration
Lecture 3 More on the BRFSS 00:01:50 Duration
Lecture 4 What is a descriptive BRFSS analysis 00:04:57 Duration
Lecture 5 Cross-sectional analysis in the BRFSS 00:03:52 Duration
Lecture 6 Ethical use of BRFSS data 00:04:38 Duration
Lecture 7 BRFSS resources 00:02:25 Duration
Lecture 8 Choosing R for a BRFSS analysis Some considerations 00:03:51 Duration
Lecture 9 Choosing R for a BRFSS analysis More considerations
Lecture 10 Installing R 00:01:50 Duration
Lecture 11 Navigating in R 00:02:37 Duration
Lecture 12 Installing the foreign package 00:03:08 Duration
Lecture 13 Installing necessary packages 00:03:58 Duration

Section 3 : Designing Your Metadata
Lecture 1 Uses of a data dictionary 00:04:35 Duration
Lecture 2 How to set up a data dictionary 00:03:48 Duration
Lecture 3 Adding to the data dictionary 00:06:13 Duration
Lecture 4 Understanding confounders 00:04:24 Duration
Lecture 5 Making a web of causation
Lecture 6 Designing confounders Age and smoking 00:04:42 Duration
Lecture 7 Designing confounders Other demographics 00:04:19 Duration
Lecture 8 Designing confounders Other variables used in analysis 00:04:39 Duration

Section 4 : Reading in Data and Applying Exclusions
Lecture 1 Reading in BRFSS XPT data 00:06:57 Duration
Lecture 2 Naming conventions 00:05:38 Duration
Lecture 3 Keeping native variables 00:05:15 Duration
Lecture 4 Applying the first exclusion 00:06:03 Duration
Lecture 5 Applying the rest of the exclusions 00:04:57 Duration
Lecture 6 Operations in code 00:03:52 Duration
Lecture 7 Making a data reduction diagram 00:04:35 Duration
Lecture 8 Generating exposure 00:04:43 Duration
Lecture 9 Generating outcome variables

Section 5 : Preparing for Descriptive Analysis
Lecture 1 Generating the age variables 00:04:18 Duration
Lecture 2 Generating the smoking variables 00:04:36 Duration
Lecture 3 Finalizing the analytic data set 00:05:46 Duration
Lecture 4 What is Table 1 00:04:26 Duration
Lecture 5 Reviewing categorical variable distribution 00:06:15 Duration
Lecture 6 Reviewing continuous variable distribution 00:06:29 Duration

Section 6 : Conducting Descriptive Analysis
Lecture 1 Preparing categorical Table 1 shell 00:06:10 Duration
Lecture 2 Preparing continuous Table 1 shell 00:02:46 Duration
Lecture 3 Adding overall frequencies to categorical Table 1 00:04:59 Duration
Lecture 4 Making a frequency macro 00:04:08 Duration
Lecture 5 Adding overall frequencies to continuous Table 1 00:03:04 Duration
Lecture 6 Completing categorical Table 1 00:07:07 Duration
Lecture 7 Completing continuous Table 1 00:05:47 Duration

Section 7 : Descriptive Analysis Weights and Tests
Lecture 1 Three truths about using weights 00:04:58 Duration
Lecture 2 Conducting a descriptive weighted analysis 00:07:50 Duration
Lecture 3 Why conduct bivariate tests 00:05:08 Duration
Lecture 4 Adding categorical bivariate tests to Table 1 00:07:17 Duration
Lecture 5 Introduction to ANOVA and linear regression code 00:02:43 Duration
Lecture 6 Adding continuous bivariate tests to Table 1 00:07:25 Duration

Section 8 : Conclusion
Lecture 1 Review of the metadata 00:06:11 Duration
Lecture 2 Uses of metadata 00:05:26 Duration
Lecture 3 Review of the process