title: A Markovian model for comparing incidences of side effects.
abstract: 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.
authors.affiliation: CIBA-GEIGY Corporation, Summit, New Jersey 07901.
authors.forename: D R
authors.initials: DR
authors.lastname: Bristol
authors.forename: H I
authors.initials: HI
authors.lastname: Patel
mesh_terms: 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