Cover: The Mixed Markov and related stochastic models for the analysis of disease progression

The Mixed Markov and related stochastic models for the analysis of disease progression

by John Uebersax, Carsten Stig Poulsen, Eugene Sobel, Victor W. Henderson

Purchase

Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback27 pages $20.00 $16.00 20% Web Discount

This paper, presented at the Joint Statistical Meetings, Anaheim, California, August 1990, is intended to generate greater interest among biomedical researchers in a class of new statistical methods for the analysis of longitudinal data. These methods provide both a powerful set of tools and a rich conceptual framework for thinking about disease progression and related problems, and they could find application in the study of a wide range of chronic diseases. Some very sophisticated longitudinal modeling techniques are now available, but are not being used. This paper describes several new longitudinal stochastic models, discusses factors that may affect their successful use in the modeling of disease progression, and illustrates one model, the Mixed Markov model, in connection with the progression of Alzheimer's disease.

This report is part of the RAND Corporation Paper series. The paper was a product of the RAND Corporation from 1948 to 2003 that captured speeches, memorials, and derivative research, usually prepared on authors' own time and meant to be the scholarly or scientific contribution of individual authors to their professional fields. Papers were less formal than reports and did not require rigorous peer review.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.