pminternal

pminternal-package

Conduct internal validation of a clinical prediction model for a binary outcome. Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope) via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism, CV average). Also includes functions to assess model stability via bootstrap resampling. See Steyerberg et al. (2001) tools:::Rd_expr_doi("10.1016/s0895-4356(01)00341-9"); Harrell (2015) tools:::Rd_expr_doi("10.1007/978-3-319-19425-7"); Riley and Collins (2023) tools:::Rd_expr_doi("10.1002/bimj.202200302").

internal

Conduct internal validation of a clinical prediction model for a binary outcome.
Produce bias corrected performance metrics (c-statistic, Brier score, calibration intercept/slope)
via bootstrap (simple bootstrap, bootstrap optimism, .632 optimism) and cross-validation (CV optimism,
CV average). Also includes functions to assess model stability via bootstrap resampling.
See Steyerberg et al. (2001) <doi:10.1016/s0895-4356(01)00341-9>;
Harrell (2015) <doi:10.1007/978-3-319-19425-7>;
Riley and Collins (2023) <doi:10.1002/bimj.202200302>.

Stephen Rhodes

Internal Validation of Clinical Prediction Models

pminternal-package function

Maintainer: Stephen Rhodes <a href="/link/steverho89%40gmail.com?package=pminternal&version=0.1.0" data-mini-rdoc="pminternal::steverho89@gmail.com">steverho89@gmail.com</a> [copyright holder]

Author

pminternal: Internal Validation of Clinical Prediction Models — pminternal-package

Maintainer: Stephen Rhodes <a href='mailto:steverho89@gmail.com'>steverho89@gmail.com</a> [copyright holder]

pminternal-package: pminternal: Internal Validation of Clinical Prediction Models

Description

Arguments

Author

See Also