pheno

A longitudinal data (629 x 3) with diagnostic results for 4 pre-determined times.

datasets

Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests.  The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.

Hui Xu

icRSF

A Modified Random Survival Forest Algorithm

pheno function

A data frame with 629 observations on 3 variables.<ul>
<li>ID: subject IDs</li>
<li>time: Pre-determined diagnostic times. (1-4)</li>
<li>result: diagnostic results (0=No, 1=Yes)</li>
</ul>

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pheno: A longitudinal data with diagnostic results for pre-determined time

Description

Usage

Arguments

Format

Join us for RADAR: AI Edition

Description

Usage

Arguments

Format

Join us for
RADAR: AI Edition