OZ FETP: Logistic Regression Case Study 2: IQ and blood lead levels

[zkamvar]

https://github.com/ArminderD/Regression_practical

This case study was developed for the Australian Field Epidemiology Training Program, The Masters of Philosophy (Applied Epidemiology) offered through the Australian National University. The case study steps through how to adjust for potential confounders using the example from a study on blood lead levels and IQ. The case study provides basic principles for understanding logistic regression, demonstrate how to perform a simple multivariable analysis in R, check model fit, and interpret results.

[zkamvar]

The link for this practical is: https://htmlpreview.github.io/?https://github.com/ArminderD/Regression_practical/blob/master/Regression_practical.html

Tasks that need to be completed:

• [ ] Clean up code formatting
• [ ] move library calls to the top of the script
• [ ] remove attach() from the script (bad R habit)
• [ ] remove semicolons from the script (again, not a good habit)
• [ ] make clear that the the tasks section is VASTLY shorter than the solutions section (was not clear to me at the very least)