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")

1.0.0.0 by Menelaos Pavlou, 4 months ago


https://github.com/mpavlou/sampsizeval


Report a bug at https://github.com/mpavlou/sampsizeval/issues


Browse source code at https://github.com/cran/sampsizeval


Authors: Menelaos Pavlou [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, sn, pracma, dplyr, plyr

Suggests testthat


See at CRAN