Johannes Zimmermann
@jzpsych.bsky.social
… resulting in extreme weights that have a strong influence on the estimated model parameters. This was the case in our data: For example, the variance inflation factor was 1.20 for IPW, but only 1.09 for OW. Here are the distributions: (2/3)
November 23, 2024 at 10:40 AM
… resulting in extreme weights that have a strong influence on the estimated model parameters. This was the case in our data: For example, the variance inflation factor was 1.20 for IPW, but only 1.09 for OW. Here are the distributions: (2/3)