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Censored observations, repeated measures and mixed effects models: An approach using the EM algorithm and normal errors. (English) Zbl 0625.62053
Maximum likelihood estimation of a vector regression parameter and variance components is considered for the mixed effects model when observations are right censored. A general scheme of estimation is given using the EM algorithm and detailed results found for the model with between and within block variation. This model is applied to the logarithms of survival times from a repeated measures design.

MSC:
62J10 Analysis of variance and covariance (ANOVA)
62H12 Estimation in multivariate analysis
62K99 Design of statistical experiments
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