Using the marginal structural model for finding the best moment to treat: Applied to a dataset consisting of dialysis patients treated with Erythropoiesis-Stimulating Agents

In this report we applied the marginal structural model and the naive Cox model on a simulated dataset, in order to find differences between these models. The marginal structural model is used to estimate causal effects in case of time-dependent confounding via inverse probability weights. The naive Cox model may produce a bias estimate of the...