Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness
Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness
Inverse probability weighting (IPW) can deal with confounding in non randomized studies. The inverse weights are probabilities of treatment assignment (propensity scores), estimated by regressing assignment on predictors. Problems arise if predictors can be missing. Solutions previously proposed include assuming assignment depends only on observed predictors and multiple imputation (MI) …