sampsizeval: Sample Size for Validation of Risk Models with Binary Outcomes

Estimation of the required sample size to validate a risk model for binary outcomes, based on the sample size equations proposed by Pavlou et al. (2021) <doi:10.1177/09622802211007522>. For precision-based sample size calculations, the user is required to enter the anticipated values of the C-statistic and outcome prevalence, which can be obtained from a previous study. The user also needs to specify the required precision (standard error) for the C-statistic, the calibration slope and the calibration in the large. The calculations are valid under the assumption of marginal normality for the distribution of the linear predictor.

Getting started

Package details

AuthorMenelaos Pavlou [aut, cre] (<>)
MaintainerMenelaos Pavlou <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the sampsizeval package in your browser

Any scripts or data that you put into this service are public.

sampsizeval documentation built on May 28, 2021, 9:06 a.m.