title: A note on last case influence using the partial likelihood approach under heavy censoring.
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).
authors.affiliation: Department of Mathematics and Statistics, Newcastle upon Tyne Polytechnic, U.K.
authors.forename: P
authors.initials: P
authors.lastname: Oman
mesh_terms: D015982:Bias; D006801:Humans; D016030:Kidney Transplantation / Q000706:statistics & numerical data; D016013:Likelihood Functions; D016016:Proportional Hazards Models; D006435:Renal Dialysis / Q000706:statistics & numerical data; D015996:Survival Rate; D013997:Time Factors