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fix doc
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R/PipeOpPredClassifSurvIPCW.R

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#' to a [PredictionSurv].
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#' Each input classification probability prediction corresponds to the
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#' probability of having the event up to the specified cutoff time
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#' \eqn{\hat{\pi}(\bold{X}_i) = P(T_i < \tau|\bold{X}_i)},
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#' \eqn{\hat{\pi}(\textbf{X}_i) = P(T_i < \tau|\textbf{X}_i)},
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#' see Vock et al. (2016) and [PipeOpTaskSurvClassifIPCW].
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#' Therefore, these predictions serve as **continuous risk scores** that can be
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#' directly interpreted as `crank` predictions in the right-censored survival
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#' setting. We also map them to the survival distribution prediction `distr`,
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#' at the specified cutoff time point \eqn{\tau}, i.e. as
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#' \eqn{S_i(\tau) = 1 - \hat{\pi}(\bold{X}_i)}.
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#' \eqn{S_i(\tau) = 1 - \hat{\pi}(\textbf{X}_i)}.
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#' Survival measures that use the survival distribution (eg [ISBS][mlr_measures_surv.brier])
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#' should be evaluated exactly at the cutoff time point \eqn{\tau}, see example.
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#' should be evaluated exactly at the cutoff time point \eqn{\tau}.
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#'
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#' @references
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#' `r format_bib("vock_2016")`

man/mlr_pipeops_trafopred_classifsurv_IPCW.Rd

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