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

Abstract

We have completed methodology and software development for point and interval estimation and variable selection for compound Nonlinear Transformation Models. We have built a number of candidate compound models for prostate cancer and verified their properties analytically and by simulations. Finally, we used the new software and methodology to apply these models to a number of real and simulated test data sets.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA437726

Entities

People

  • Alexander Tsodikov

Organizations

  • University of California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Breast Cancer
  • Cancer
  • Computational Science
  • Data Analysis
  • Data Science
  • Data Sets
  • Databases
  • Diseases And Disorders
  • Health Services
  • Information Science
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Prostate Cancer
  • Random Variables
  • Simulations
  • Software Development

Readers

  • Oncology
  • Software Engineering.
  • Statistical inference.