Causal Inference for Complex Longitudinal Data: The Continuous Time g-Computation Formula

Details Causal Inference for Complex Longitudinal Data: The Continuous Time g-Computation Formula Causal Inference for Complex Longitudinal Data: The Continuous Time g-Computation Formula

2004-09-22

arxiv.org/abs/math/0409436v1

Mathematics

Statistics Theory

6 pages. A conjecture

Scientific paper

I write out and discuss how one might try to prove the continuous time g-computation formula, in the simplest possible case: treatments (labelled a, for actions) and covariates (l: longitudinal data) form together a bivariate counting process. This formula is an important missing ingredient in the continuous time version of J.M. Robins' counterfactual based theory of causal inference for complex longitudinal data

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