Short- and Long-Term Effects in Prostate Cancer Survival: Analysis of Treatment Efficacy and Risk Prediction

Abstract

This report describes the work performed at the University of Utah during the first 8 months of the project. Algorithms have been developed for model for model building, estimation, hypothesis testing, and simulation for nonlinear transformation models of prostate cancer survival. These algorithms form the basis of a comprehensive toolbox for statistical inference with such models.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2004
Accession Number
ADA421695

Entities

People

  • Alexander Tsodikov

Organizations

  • University of Utah

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Bayesian Networks
  • Breast Cancer
  • Computational Science
  • Computer Programming
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Knowledge Management
  • Maximum Likelihood Estimation
  • Monte Carlo Method
  • Neoplasms
  • Statistical Algorithms
  • Statistical Analysis
  • Statistical Inference

Fields of Study

  • Mathematics

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Oncology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference