Statistical Inference for Quality-Adjusted Survival Time

Abstract

In evaluations of breast cancer therapies, the patients' quality of life is receiving more and more attention. It is desirable that a treatment not only prolongs the overall survival life, but also improves the quality of life (QOL). Quality-adjusted lifetime (QAL) is a measure that combines both the quality and the quantity of a person's lifetime. The goal of my research is to study how to draw inference about QAL in the presence of censoring. For the past year, I have made efforts to ensure that the methodology I develop can be easily applied to clinical study of breast cancer. I have also been attacking some difficult technical problems. I am confident that the research problem I have been working on is of great importance to breast cancer studies.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA420329

Entities

People

  • David Oakes
  • Hongwei Zhao

Organizations

  • University of Rochester

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Biomedical Research
  • Biometrics
  • Breast Cancer
  • Cancer
  • Clinical Trials
  • Data Science
  • Information Science
  • Knowledge Management
  • Neoplasms
  • Personnel Management
  • Quality Of Life
  • Statistical Analysis
  • Statistical Inference
  • Statistics
  • Survival
  • Test And Evaluation

Readers

  • Artificial Intelligence
  • Life Cycle Cost Analysis
  • Oncology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference