A new causal definition of the proportion of longitudinal treatment effect explained by a surrogate, estimated via state-space models with Kalman filter and bootstrap.
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Markovian population models induce unique genealogy processes whose exact likelihoods are given by model-determined filter equations, generalizing prior phylodynamic methods.
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A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
A new causal definition of the proportion of longitudinal treatment effect explained by a surrogate, estimated via state-space models with Kalman filter and bootstrap.
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Exact phylodynamic likelihood via structured Markov genealogy processes
Markovian population models induce unique genealogy processes whose exact likelihoods are given by model-determined filter equations, generalizing prior phylodynamic methods.