A note on last case influence using the partial likelihood approach under heavy censoring

Stat Med. 1992 Sep 15;11(12):1615-8. doi: 10.1002/sim.4780111209.

Abstract

The Cox proportional hazards model always treats the last observation in a time ordered data set as an inexact survival time. In certain situations this can lead to this observation always having a low case influence and consequently never being highlighted by a case influence analysis. Thus an influential value can become non-influential by a miscalculation of survival time and this, in turn, can affect conclusions of an analysis based on statistical significance (P-values).

MeSH terms

  • Bias
  • Humans
  • Kidney Transplantation / statistics & numerical data
  • Likelihood Functions*
  • Proportional Hazards Models*
  • Renal Dialysis / statistics & numerical data
  • Survival Rate*
  • Time Factors