Abstract
Let {X(t): t ∈ ℝ≥0} be a multivariate stochastic process indexed by time t. Let T denote an endpoint of this stochastic process, and define X(t) ≡ X(min(t, T)). Let R(t) = I(T≤ t) be one of the components of X(t). We define the full data as \(X = \bar{X}(T) = (X(s):s \leqslant T)\), where T is thus a function X.
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© 2003 Springer Science+Business Media New York
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van der Laan, M.J., Robins, J.M. (2003). Monotone Censored Data. In: Unified Methods for Censored Longitudinal Data and Causality. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21700-0_3
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DOI: https://doi.org/10.1007/978-0-387-21700-0_3
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3055-2
Online ISBN: 978-0-387-21700-0
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