km_fit: Kaplan-Meier (KM) estimate at specific time point

In psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets

Kaplan-Meier (KM) estimate at specific time point

Description

Kaplan-Meier (KM) estimate at specific time point

Usage

km_fit(time, status, t_risk)

Arguments

time	Character vector. Name of time variable.
status	Character vector. Name of status variable.
t_risk	Follow-up value to calculate cases, controls. See details.

Value

KM estimate at specific time point

Author(s)

Martijn Heymans, 2023

References

Pencina MJ, D'Agostino RB Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011;30(1):11-21

Inoue E (2018). nricens: NRI for Risk Prediction Models with Time to Event and Binary Response Data. R package version 1.6, <https://CRAN.R-project.org/package=nricens>.

See Also

km_fit

psfmi documentation built on July 9, 2023, 7:02 p.m.