Can we train machine learning methods to outperform the high-dimensional propensity score algorithm? ME Karim, M Pang, RW Platt January 2018 Source Document causal-inference machine-learning simulation Related Estimating inverse probability weights using super learner when weight-model specification is unknown in a marginal structural Cox model context On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies Comparison of statistical approaches for dealing with immortal time bias in drug effectiveness studies Guidance for Practitioners on the Choices of Software Implementation for Frailty Models: Simulations and An Application in Determining the Birth Interval Dynamics