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2018
Censored data occur when the value of an observation is only partially known. For example, it may be known that someone’s exact wealth is unknown but it may be known that their wealth exceeds one million dollars. In left censoring, the data may fall below a certain value whereas in right censoring, it may be above a certain value.
Mayer Alvo, Philip L. H. Yu
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Censored data occur when the value of an observation is only partially known. For example, it may be known that someone’s exact wealth is unknown but it may be known that their wealth exceeds one million dollars. In left censoring, the data may fall below a certain value whereas in right censoring, it may be above a certain value.
Mayer Alvo, Philip L. H. Yu
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A Nonparametric Test for Association with Censored Data
Biometrics, 1978A nonparametric procedure is proposed for the problem of testing association between two continuous variables when one is subject to arbitrary censoring. The motivation for the procedure derives from our finding that Cox's likelihood procedure may not adequately control the size of the test.
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2003
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.
Mark J. van der Laan, James M. Robins
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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.
Mark J. van der Laan, James M. Robins
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Forecasting with Functional and Twice Censored Data
Operations Research ForumzbMATH Open Web Interface contents unavailable due to conflicting licenses.
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