Abstract
To demonstrate the use of Longitudinal Targeted Maximum Likelihood Estimation (LTMLE) methods to derive causal average treatment effect estimates for survival and health-related quality of life (measured by the EQ5D) outcomes from longitudinal real-world data with risk of bias from immortal-time and time-varying confounding.
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