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
The motivation behind this idea is the depression_unemployment data. Although it was only used by Singer and Willett in chapter 5 to demonstrate the multilevel model for change, the data contains information such that it could also be used for survival analysis---indeed,in Ginexi and colleagues' study, they actually did fit use both multilevel models and survival analysis. It would be educational to have an article demonstrating this.
This might also be sufficient as a tips and tricks article.
The text was updated successfully, but these errors were encountered:
Another topic: Longitudinal data validation (with the {pointblank} package). This could go over some of the unique aspects of longitudinal data that are important to check for, such as:
Subsequent measurement occasions happening later in time (no one ever jumps back in time)
The number of measurements per person
The time of measurements, and/or the time between measurements
The motivation behind this idea is the
depression_unemployment
data. Although it was only used by Singer and Willett in chapter 5 to demonstrate the multilevel model for change, the data contains information such that it could also be used for survival analysis---indeed,in Ginexi and colleagues' study, they actually did fit use both multilevel models and survival analysis. It would be educational to have an article demonstrating this.This might also be sufficient as a tips and tricks article.
The text was updated successfully, but these errors were encountered: