Utilizing Serial Measures of Breast Cancer Risk Factors

Abstract

A model for adjusting hormone measurements for systematic fluctuations over the menstrual cycle, which will allow more valid comparisons of hormone levels between pre-menopausal cases and controls, was developed. The model was utilized to adjust hormone levels for day of cycle in an analysis of the association between total estradiol and risk of pre-menopausal breast cancer. A bootstrap method for obtaining variances of the logistic regression parameters which takes into account the error associated with estimation of the adjusted hormone levels has also been devised and will be implemented in the final year of the study. In addition, a method for analyzing correlated panel data using a continuous time Markov model is proposed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1998
Accession Number
ADA346762

Entities

People

  • Mimi Y. Kim

Organizations

  • NYU Langone Health

Tags

DTIC Thesaurus Topics

  • Acquired Immune Deficiency Syndrome
  • Breast Cancer
  • Clinical Trials
  • Data Science
  • Epidemiology
  • Information Science
  • Knowledge Management
  • Markov Models
  • Measurement
  • Medical Personnel
  • Menstrual Cycle
  • Neoplasms
  • Regression Analysis
  • Risk Factors
  • Sex Hormones
  • Statistical Algorithms
  • Surveys

Readers

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  • Statistical inference.
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