The Comparison of Life Table and Markov Chain Techniques for Follow-up Studies

John R. Schoenfelder, Richard H. Shachtman and Gordon J. Johnston
Additional contact information
John R. Schoenfelder: Burroughs Wellcome Co., Research Triangle Park, North Carolina
Richard H. Shachtman: University of North Carolina, Chapel Hill, North Carolina
Gordon J. Johnston: Harris Corporation, Melbourne, Florida

Operations Research, 1985, vol. 33, issue 1, 126-133

Abstract: We examine Markov chain versus life table techniques for comparing cohorts (homogeneous groups) with respect to time to occurrence of specified events. Key results are (i) a theorem showing that, when the underlying process is a stationary Markov chain, the Markov chain estimator of time to occurrence is equivalent to the life table estimator, and (ii) simulation statistics suggesting that the Markov chain estimator has a smaller standard error.

Keywords: 222; 275; and 570 forecasting population movements using life tables vs. Markov chains (search for similar items in EconPapers)
Date: 1985
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.33.1.126 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:33:y:1985:i:1:p:126-133

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().