When presenting the results of logistic regression models, decisions need to be made. PROC LOGISTIC output provides many choices of what metrics to present in a model table, and different options are discussed. Examples are provided from the literature.
- [Instructor] Now we will move on … to think about the different ways … to present logistic regression models. … Okay, this slide is similar to the linear regression slide … but there is an important difference in logistic regression. … The field of public health has a lot … of influence on model presentation, … mainly because public health has to make practical use out … of all those slopes on the output. … So, while your logistic regression model presentation … will still be influenced by your field … and by the statistical package you use … and by personal preference, there are actually … some standards you will want to observe. … In public health, we found out the hard way … that it is actually harmful not to present the odds ratios … and their confidence intervals … in your logistic regression model presentation. … In public health, some people used … to just present the log odds slopes and the P-values. … They still do it this way in some other fields, … but in public health, we had to stop that. …
Author
Monika Wahi
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
Views
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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: Presenting logistic regression models