A simple local sensitivity analysis tool for nonignorable coarsening: application to dependent censoring

Jiameng Zhang, Daniel F. Heitjan

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Right- and interval-censored data are common special cases of coarsened data (Heitjan and Rubin, 1991, Annals of Statistics 19, 2244-2253). As with missing data, standard statistical methods that ignore the random nature of the coarsening mechanism may lead to incorrect inferences. We extend a simple sensitivity analysis tool, the index of local sensitivity to nonignorability (Troxel, Ma, and Heitjan, 2004, Statistica Sinica 14, 1221-1237), to the evaluation of nonignorability of the coarsening process in the general coarse-data model. By converting this index into a simple graphical display one can easily assess the sensitivity of key inferences to nonignorable coarsening. We illustrate the validity of the method with a simulated example, and apply it to right-censored data from an observational study of cardiac transplantation and to interval-censored data on time to detectable viral load from a clinical trial in HIV disease.

Original languageEnglish (US)
JournalBiometrics
Volume62
Issue number4
DOIs
StatePublished - Dec 1 2006

Fingerprint

heart transplant
Dependent Censoring
Coarsening
observational studies
viral load
Sensitivity analysis
Sensitivity Analysis
Interval-censored Data
clinical trials
Right-censored Data
statistical analysis
statistics
Heart Transplantation
Viral Load
Observational Studies
Graphical Display
Observational Study
Transplantation
Clinical Trials
HIV

Keywords

  • Coarse data
  • Ignorability
  • Informative censoring
  • Interval censoring
  • Random censoring

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

Cite this

A simple local sensitivity analysis tool for nonignorable coarsening : application to dependent censoring. / Zhang, Jiameng; Heitjan, Daniel F.

In: Biometrics, Vol. 62, No. 4, 01.12.2006.

Research output: Contribution to journalArticle

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