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Parameter Identifiability Issues in a Latent Ma- rkov Model for Misclassified Binary Responses
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نویسنده
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Rosychuk Rhonda J. ,Thompson Mary E.
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منبع
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journal of the iranian statistical society - 2004 - دوره : 3 - شماره : 1 - صفحه:39 -57
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چکیده
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Medical researchers may be interested in disease processes that are not directly observable. imperfect diagnostic tests may be used repeatedly to monitor the condition of a patient in the absence of a gold standard. we consider parameter identifiability and estimability in a markov model for alternating binary longitudinal responses that may be misclassified. exactly two distinct sets of parameter values are shown to generate the distribution for the data in a common situation and we propose a restriction to distinguishes the two. even with the restriction, parameters may not be estimable. issues of sampling and correct model specification are discussed.
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کلیدواژه
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Estimability ,hidden Markov models ,identifiability ,longitudinal data ,misclassification
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آدرس
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University of Alberta, Aberhart Centre, Department of Pediatrics, Canada, University of Waterloo, Department of Statistics and Actuarial Science, Canada
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Authors
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