A Markovian model for comparing incidences of side effects.
For clinical trials that entail observations at successive visits for the occurrence of a side effect, this paper considers a likelihood-based method to compare side effect incidence rates. The method, which employs the assumption of a Markov chain of order one for the vectors of binary responses, handles missing data due to premature withdrawals. An actual numerical example and a simulated example illustrate the technique.
Bristol
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DR
CIBA-GEIGY Corporation, Summit, New Jersey 07901.
Patel
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HI
D002986:Clinical Trials as Topic / Q000379:methods*; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D015994:Incidence; D008390:Markov Chains; D015233:Models, Statistical