Utilizing Serial Measures of Breast Cancer Risk Factors

Abstract

The overall goals of the project were to develop theoretical statistical methods for utilizing repeated measurements of serum levels of risk factors in epidemiologic studies of breast cancer. During the four year study period, the following research was accomplished: (1) a technique was developed for correcting for measurement error when subjects have a variable number of repeated exposure measurements; (2) the technique was applied to studies of endogenous estrogens and androgens and risk of post-menopausal breast cancer; (3) a method was developed for adjusting for the systematic variability of hormone levels over the menstrual cycle in studies of pre-menopausal breast cancer; (4) guidelines were devised for choosing the number of repeated measurements and optimal time interval between repeats in half-life studies of environmental contaminants which have been linked with an increased risk of breast cancer; (5) methodology was developed for analyzing correlated panel data which can arise when serially monitoring toxicity in clinical trials of breast cancer treatments; and (6) a conceptual approach based on equivalence testing was proposed for assessing the validity of a dietary assessment method for use in epidemiologic studies of breast cancer and other diseases.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA369628

Entities

People

  • Mimi Y. Kim

Organizations

  • NYU Langone Health

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Acquired Immune Deficiency Syndrome
  • Chemistry
  • Clinical Trials
  • Data Science
  • Hormones
  • Information Science
  • Knowledge Management
  • Measurement
  • Medical Personnel
  • Menstrual Cycle
  • Neoplasms
  • Regression Analysis
  • Risk Factors
  • Sex Hormones
  • Statistical Algorithms
  • Statistics
  • Surveys

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Systems Analysis and Design
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.