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| Reasonably carry out mean value comparison： repeated measurement model of the growth with inter-group heterogeneity |
DOI：10.11886/scjsws20230201004 |
| English keywords:Repeated measurement Variance-covariance structure Prior distribution Posterior distribution Sampling method |
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| The purpose of this article was to introduce 5 basic concepts， calculation methods， a clinical trial example and its SAS implementation related to the repeated measurement model of growth with intergroup heterogeneity. The basic concepts included the repeated experiments versus repeated measurements， variance-covariance structures， equilibrium versus heterogeneity， prior versus posterior distributions， mixed versus multilevel models. The computational methods involved the sampling methods and the prior distributions. The clinical trial example involved two groups of repeated measurement of growth with heterogeneity. This paper gave the whole process of using SAS software to analyze the growth repeated measurement data in the example， including presenting the growth graph of a specific index （short for distance） in the mouth of the two groups of children with age， constructing the linear repeated measurement model of the two groups of children， constructing a model that took into account heterogeneity while estimating gender effects， directly obtaining posterior distributions for gender-dependent intercepts and slopes， and directly inferring probabilities based on the posterior estimates. The output results were explained and the effects of switching to a multilevel model were discussed. |
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