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

Link

https://doi.org/10.1007/b97377

Cited from

mathematics

Cited by

2 citations across 2 artifacts.

Primes

• Truncation
  • … keeps finitely many ordered terms and leaves a tail whose size and regularity determine the error. 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.

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