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Marginal structural models (MSMs) are commonly used to estimate causal intervention effects in longitudinal non-randomised studies. A common issue when analysing data from observational studies is the presence of incomplete confounder data, which mig
Externí odkaz:
http://arxiv.org/abs/1911.12624
