Format

Send to

Choose Destination
See comment in PubMed Commons below
Biometrics. 1991 Dec;47(4):1371-81.

A two-state Markov mixture model for a time series of epileptic seizure counts.

Author information

1
Biometry and Field Studies Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health.

Abstract

This paper discusses a model for a time series of epileptic seizure counts in which the mean of a Poisson distribution changes according to an underlying two-state Markov chain. The EM algorithm (Dempster, Laird, and Rubin, 1977, Journal of the Royal Statistical Society, Series B 39, 1-38) is used to compute maximum likelihood estimators for the parameters of this two-state mixture model and extensions are made allowing for nonstationarity. The model is illustrated using daily seizure counts for patients with intractable epilepsy and results are compared with a simple Poisson distribution and Poisson regressions. Some simulation results are also presented to demonstrate the feasibility of this model.

PMID:
1786324
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Loading ...
    Support Center