Campuses:

G-estimation

Thursday, November 8, 2018 - 5:00pm - 5:30pm
Abdus Wahed (University of Pittsburgh)
Hypothesis testing to compare dynamic treatment regimes (DTR) from a sequential multiple assignment randomization trial (SMART) is generally based on inverse probability weighting or g-estimation. However, regression methods allowing for comparison of DTRs that flexibly adjust for baseline covariates using these methods are not as straight-forward due to the fact that one patient can belong to multiple DTRs. This poses a challenge for data analysts as it violates basic assumptions of regression modeling of unique group membership.
Friday, September 15, 2017 - 2:30pm - 3:00pm
Erica Moodie (McGill University)
In this talk, I will introduce doubly-robust G-estimation of an adaptive treatment strategy in which parameters are shared across different stages of the treatment sequence, allowing for more efficient estimation and simpler treatment decision rules. The approach is computationally stable, and produces consistent estimators provided either the outcome model or the treatment allocation model is correctly specified. An illustrative example is also provided.
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