Edited, memorised or added to reading queue

on 31-Oct-2025 (Fri)

Do you want BuboFlash to help you learning these things? Click here to log in or create user.

Flashcard 7766493498636

Tags
#causal #inference
Question

The G-methods family, as developed by James Robins and colleagues, specifically includes:

  1. [...]
  2. G-computation
  3. G-estimation of structural nested models
Answer
Inverse probability weighting (IPW)

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
The G-methods family, as developed by James Robins and colleagues, specifically includes: Inverse probability weighting (IPW) G-computation G-estimation of structural nested models

Original toplevel document

Open it
The G-methods family, as developed by James Robins and colleagues, specifically includes: Inverse probability weighting (IPW) G-computation G-estimation of structural nested models Inverse probability matching (propensity score matching) is not technically a G-method. While it shares the fundamental goal of addressing confounding and selection bias, it employs a d






Annotation 7766497168652

#causal #inference
Inverse probability matching (propensity score matching) is not technically a G-method. While it shares the fundamental goal of addressing confounding and selection bias, it employs a different mathematical framework and estimation approach
statusnot read reprioritisations
last reprioritisation on suggested re-reading day
started reading on finished reading on

Open it
The G-methods family, as developed by James Robins and colleagues, specifically includes: Inverse probability weighting (IPW) G-computation G-estimation of structural nested models Inverse probability matching (propensity score matching) is not technically a G-method. While it shares the fundamental goal of addressing confounding and selection bias, it employs a different mathematical framework and estimation approach