Survival Analysis

Klein, J. P., & Moeschberger, M. L. (2003). Survival Analysis: Techniques for Censored and Truncated Data. Springer.

Type

Book

Intellectual base

Review or monograph

Year

2003

DOI

10.1007/b97377

ISBN

9780387953991

DOI registrant

Springer Nature

Link

https://doi.org/10.1007/b97377

Cited from

mathematics

Cited by

4 citations across 4 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Truncation
  • In data analysis, truncation can mean that observations beyond a sampling boundary are absent from the observed population, which changes normalization and likelihood rather than simply marking values as incomplete.

Domain-specific

• Accelerated failure time model
  • … baseline quantiles, subject to the model and covariate conditions. to A reliability analysis fits Weibull, lognormal, and log-logistic AFT models to right-censored component lifetimes and compares residual behavior, information criteria, and sensitivity of mission-time predictions. demonstrates that continuity.

Mechanisms

• Envelope Tracking
  • Its central failure mode is that, in real time, the trailing edge is right-censored

    This sourceDefines right censoring as observing a subject only up to a cutoff while the event time beyond that cutoff remains unknown.

• Survival or Time-to-Event Analysis
  • Informative censoring — censoring correlated with the risk being estimated — biases the curve, as does left-truncation, where only entities that survived long enough to enter the sample are ever observed.

    This sourceExplains that standard survival estimates require noninformative censoring and that left truncation observes only subjects who survive to entry, biasing analysis if ignored.

Verification

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Links previously used in the corpus

Before the registry existed this work was also linked 1 other way.

• https://link.springer.com/book/10.1007/978-1-4757-2728-9 ×1

Registry ID ref:26142dc419bc · see in the full table