Innovative Statistical Approaches to Modeling Multiple Outcome Data from the NSABP BCPT

Abstract

The goals of this IDEA award are two fold, namely, to develop and refine statistical methodology for the analysis of a data set where multiple outcomes or disease incidence endpoints are of interest and to apply these methods to the analysis of a data set in prevention such as the National Surgical Adjuvant Breast and Bowel Project's Breast Cancer Prevention Trial. The software for the fitting of the B-spline models, the first type of model that was proposed in this study, is currently being tested. Software development for the pseudospline approach is well underway. The needed software to conduct simulation studies is being tested for generating data from a bivariate exponential distribution and a second routine is under development.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2000
Accession Number
ADA387701

Entities

People

  • Kiros Berhane
  • Lisa Weissfeld

Organizations

  • University of Pittsburgh

Tags

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Biomedical Research
  • Breast Cancer
  • California
  • Cancer
  • Computations
  • Data Science
  • Data Sets
  • Information Science
  • Knowledge Management
  • Neoplasms
  • Simulations
  • Software Development
  • Standards
  • Statistical Algorithms
  • Students
  • Survival

Readers

  • Regression Analysis.
  • Software Engineering.
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.