Causal inference in survival analysis under deterministic missingness of confounders in register data
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DOI: 10.1002/sim.9706
Abstract: Long‐term register data offer unique opportunities to explore causal effects of treatments on time‐to‐event outcomes, in well‐characterized populations with minimum loss of follow‐up. However, the structure of the data may pose methodological challenges. Motivated by… read more here.
Keywords: causal inference; missingness; survival; entry date ... See more keywords