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

In pminternal: Internal Validation of Clinical Prediction Models

pminternal: Internal Validation of Clinical Prediction Models

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/s0895-4356(01)00341-9")}; Harrell (2015) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/978-3-319-19425-7")}; Riley and Collins (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/bimj.202200302")}.

Author(s)

Maintainer: Stephen Rhodes [e-mail] [copyright holder]

See Also

Useful links:

• https://github.com/stephenrho/pminternal

• https://stephenrho.github.io/pminternal/

• Report bugs at https://github.com/stephenrho/pminternal/issues

pminternal documentation built on April 4, 2025, 3:30 a.m.