On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error.
Inverse probability weighting (IPW) is a popular method for making inferences regarding unobserved or unobservable data of a target population based on observed data. This paper considers IPW applied to right-censored time-to-event data. We investigate the behavior of the inverse-probability-of-cens...
Saved in:
Main Authors: | Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0318349 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimation of Sine Inverse Exponential Model under Censored Schemes
by: M. Shrahili, et al.
Published: (2021-01-01) -
Weighted Moments Estimators of the Parameters for the Extreme Value Distribution Based on the Multiply Type II Censored Sample
by: Jong-Wuu Wu, et al.
Published: (2013-01-01) -
Weighted Wilcoxon-Type Rank Test for Interval Censored Data
by: Ching-fu Shen, et al.
Published: (2013-01-01) -
Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme
by: Sanjay Kumar Singh, et al.
Published: (2013-01-01) -
Upper Bound on the Bit Error Probability of Systematic Binary Linear Codes via Their Weight Spectra
by: Jia Liu, et al.
Published: (2020-01-01)