ci_cover_e_yn

<p>Data for example for empirical confidence interval for OHS. For generation, see example.</p>

data

aspre

Predictive scores must be updated with care, because actions taken on the basis of existing risk scores causes bias in risk estimates from the updated score. A holdout set is a straightforward way to manage this problem: a proportion of the population is 'held-out' from computation of the previous risk score. This package provides tools to estimate a size for this holdout set and associated errors. Comprehensive vignettes are included. Please see: Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022) <doi:10.48550/arXiv.2202.06374> (to appear in Annals of Applied Statistics) for details of methods.

James Liley

OptHoldoutSize

Estimation of Optimal Size for a Holdout Set for Updating a
Predictive Score

Sami Haidar-Wehbe

Sam Emerson

Louis Aslett

ci_cover_e_yn function

<p>An object of class <code>matrix</code> (inherits from <code>array</code>) with 11 rows and 5000 columns.</p>

Format

Data for example on empirical confidence interval for OHS. — ci_cover_e_yn

Data for example on empirical confidence interval for OHS.

ci_cover_e_yn: Data for example on empirical confidence interval for OHS.

Description

Usage

Arguments

Format