A stochastic model is proposed to analyze the observation vectors of variable lengths in a long-term clinical trial. Using a Markovian normal density, the likelihood ratio tests for usual hypotheses are derived and asymptotic distributions of the test statistics are obtained. The use of 'step-down' procedure is discussed for the interim analysis and a numerical example is given to illustrate the methodology.
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Patel et al. (1981) studied this question.