Innovative Statistical Approaches to Modeling Multiple 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 now being used to fit these models and the simulation studies are also complete. Software development for the pseudospline approach is nearly complete. Extensions to the analysis of recurrent event data outcomes are now being developed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2001
Accession Number
ADA403334

Entities

People

  • Kiros Berhane
  • Lisa A. Weissfeld

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Biostatistics
  • Breast Cancer
  • Computations
  • Confidence Limits
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Databases
  • Estimators
  • Health Services
  • Information Science
  • Knowledge Management
  • Simulations
  • Software Development
  • Statistical Algorithms

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Women's Health and Cancer Risk Research: African American Women and Pregnancy Outcomes.