SERforum

 

Join Andrew Olshan, for SERforum Live!

“Career and Professional Development”

JOIN SERforum – Live
December 5th, 12pm EST

 

Do you ever find yourself struggling to figure out a question about epidemiologic methods, or other topics in epidemiology, and don’t know who to ask? The SERforum allows for individuals to answer questions that come up in our daily work around substantive and methodological topics in epidemiology.
 
All topics may be viewed, but to read and post comments, SER membership is required. If you are member, login! Not a member, join us!

You need to log in to create posts and topics.

Censoring

What types of techniques can I use to address informative censoring when following a cohort of Medicaid recipients?

How do you know it is informative censoring? What is the outcome/target variable in this scenario?

If you think you have all the variables collected that are risk factors for mortality that also predict censoring, you can use inverse probability of censoring weights (see Robins & Finklestein, Biometrics 2000). IPCW are handy in that they can be used quite flexibly (e.g., in Cox models to get hazard ratios and to generate weighted survival or risk curves and report risk differences or risk ratios). (You can also use joint models - but I am admittedly less familiar with this approach to direct you to the best resources.)