Cox Model for Interval Censored Data in Breast Cancer Follow-Up Studies

Abstract

The overall objective of this research proposal is semi-parametric inference of the Cox regression model for a survival function Pr(X > x/Z=z)=S(x/z)= So(x)ez beta, where X is subject to interval censoring, Z represents the covariates, So is a baseline survival function, and beta represents the regression coefficients. One objective of our research is to develop asymptotic inference of the generalized maximum likelihood estimator (GMLE) of the regression coefficients beta and S(./z).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA408771

Entities

People

  • George Y. Wong

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Asymptotic Normality
  • Breast Cancer
  • Consistency
  • Data Science
  • Data Sets
  • Drug Therapy
  • Estimators
  • Information Science
  • Intervals
  • Materials
  • Neoplasms
  • New York
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Inference
  • Survival

Fields of Study

  • Mathematics

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference