mayo

<p>Two marker values with event time and censoring status for the subjects in Mayo PBC data</p>

survival

We provide tools to estimate two prediction accuracy metrics,
the average positive predictive values (AP) as well as the well-known AUC
(the area under the receiver operator characteristic curve) for risk scores.
The outcome of interest is either binary or censored event time.
Note that for censored event time, our functions' estimates, the AP and the
AUC, are time-dependent for pre-specified time interval(s). A function that
compares the APs of two risk scores/markers is also included. Optional
outputs include positive predictive values and true positive fractions at
the specified marker cut-off values, and a plot of the time-dependent AP
versus time (available for event time data).

Hengrui Cai

APtools

Average Positive Predictive Values (AP) for Binary Outcomes and
Censored Event Times

mayo function

<p>A data frame with 312 observations and 4 variables: time (event time/censoring time), censor (censoring indicator),
mayoscore4, mayoscore5. The two scores are derived from 4 and 5
covariates respectively.</p>

mayo: Mayo Marker data

Description

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References