You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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 is based on cross-sectional survey data looking at risk factors for acute respiratory infection in Australia. 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.
The text was updated successfully, but these errors were encountered:
https://github.com/ArminderD/ReCon_Rcourse
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 is based on cross-sectional survey data looking at risk factors for acute respiratory infection in Australia. 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.
The text was updated successfully, but these errors were encountered: