This video takes the working model developed from round 1 of stepwise selection linear regression and uses this to develop the final model. Covariates that were not retained during round 1 are reintroduced iteratively in round 2. PROC GLM is used to make iterative models and comments are made in the code to help keep track of the decisions between iterations.
- [Instructor] Now we are at the next phase … of building our linear regression model. … This code named 515_Stepwise Selection Linear Round 2, … is in your exercise files. … Let's look at the first Model in it. … See this note? … It means we are on Model 21. … I don't reset the numbering. … Model 20 is the working model that came out of round one. … And Model 21 is the first model I will run … to try to break the working model. … See this PROC GLM code? … The first three lines of the code represent … my working model, Model 20, which is at the end … of the code from the last movie. … Let's look at what's in it. … Obviously DIABFLAG is there. … But we still have AGE4 through six, … HISPANIC and all the race indicator variables, … the marital status of FORMERLY MARRIED, … meaning widowed or divorced, … the highest level of education of SOME COLLEGE, … having ASTHMA, being OVERWEIGHT, or OBESE, … being a SMOKER, … and having either FAIR or POOR general HEALTH. … So that sounds like a grab bag, …
Author
Released
4/2/2019- Preparing for linear regression
- Creating plots for testing assumptions
- Linear regression modeling
- Interpreting the linear regression model
- Logistic regression modeling
- Presenting linear and logistic regression models
- Issues in regression
Skill Level Intermediate
Duration
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Introduction
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Introduction to the course1m 52s
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What you should know3m 2s
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1. Preparing for Linear Regression
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Basic PROC GLM code3m 7s
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Reading PROC GLM output5m 56s
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2. Linear Regression Modeling
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Linear regression: Round 16m 32s
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3. Preparing for Logistic Regression
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Outcome distribution2m 29s
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Basic PROC LOGISTIC code3m 39s
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4. Logistic Regression Modeling
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Logistic regression: Round 15m 52s
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5. Model Presentation
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6. Issues in Regression
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Interaction review6m 56s
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7. Regression Tips
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Choosing reference groups5m 10s
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Conclusion
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Review of the process2m 50s
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Next steps5m 40s
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Video: Linear regression: The final model