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) . 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.


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install.packages("sampsizeval") by Menelaos Pavlou, 8 months ago

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Authors: Menelaos Pavlou [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports stats, sn, pracma, dplyr, plyr

Suggests testthat

See at CRAN