Utilizing Serial Measures of Breast Cancer Risk Factors.

Abstract

We present a technique for correcting measurement error when subjects have a variable number of repeated measurements and the average of the measurements is used as the subject's measure of exposure in the analysis. A bootstrap method for obtaining confidence intervals of the relative risk estimates, which takes into account the variability in the estimates of the correction factors, is also described. The methods were applied to a nested case control study of estradiol and risk of breast cancer. Measurement error correction techniques were also utilized in an analysis of serum testosterone and dehydroepiandrosterone sulfate with breast cancer risk in postmenopausal women.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1997
Accession Number
ADA326068

Entities

People

  • Mimi Y. King

Organizations

  • NYU Langone Health

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Chemistry
  • Data Science
  • Diseases And Disorders
  • Health
  • Hormones
  • Information Science
  • Knowledge Management
  • Measurement
  • Medical Personnel
  • Menstrual Cycle
  • Neoplasms
  • Public Health
  • Risk Factors
  • Sex Hormones
  • Statistical Algorithms
  • Statistics
  • Surveys

Readers

  • Breast cancer cell signaling and growth regulation.
  • Computational Modeling and Simulation
  • Prostate Cancer Biology.