Malcolm Barrett
Malcolm Barrett
callout box for why we're not using terms MAR, MNCAR, etc. Not clear if talking about causal mechanism or missingness mechanism
Benefit of full MICE: CAN recover correct SE to true value
MB Question: does propensity score model fitted with variables from deterministic model without Y need any different approaches? Lucy doesn't think so but will investigate
exclusion criteria + missingness: https://onlinelibrary.wiley.com/doi/10.1002/sim.9685
checks for partially missing covariates: https://janickweberpals.gitlab-pages.partners.org/smdi/articles/smdi.html course materials from a class on causal effects and missingness: [Missing Data Theory and Causal Effects](https://osiris.uu.nl/osiris_student_uuprd/OnderwijsCatalogusSelect.do?selectie=cursus&collegejaar=2022&cursus=201500130&taal=en)
MI + gcomp: https://thestatsgeek.com/2023/01/31/g-formula-for-causal-inference-via-multiple-imputation/
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-024-02157-x
Note: additive model is collapsible but wrong, e.g. adding the other two will give the same (wrong?) answer. It's because it's the wrong data gen mechanism
log odds calc is wrong for the first one because it doesn't include the baseline probability
I don't know what this means but I trust one of the two of you does haha