Abstract:
:In studies of serial cancer markers or disease states and their relation to survival, data on the marker or state are usually obtained at infrequent time points during follow-up. A Markov model is developed to assess the dependence of risk of death on marker level or disease state and inferences within this model are based directly on data collected in this haphazard way. An application relating changing levels of serum alpha-fetoprotein to death in hepatocellular carcinoma is discussed in detail.
journal_name
Biometricsjournal_title
Biometricsauthors
Kay Rsubject
Has Abstractpub_date
1986-12-01 00:00:00pages
855-65issue
4eissn
0006-341Xissn
1541-0420journal_volume
42pub_type
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