Yukio Takahashi Representative Director, BioStat Research Institute, Ltd.
Many books on the experimental design method can not find descriptions about various analytical models using JMP's "model fitting".One of the keywords is a random effect.In order to analyze the branched experimental data aimed at estimating the dispersion component, the lower factor desired to be a random effect in the "composition of the model effect" is set to be a "branching factor", and from the structure "attribute" to the "variable effect" It is necessary to select attributes and change the attributes.
Even more troublesome is the choice of analysis method, "EMS (conventional)" or "REML (recommended)".In conventional branching experiments, the degree of freedom of the variance analysis table expands as lower branches become inefficient, and inefficient experiments are performed.Staggered type branching experiment was devised to prevent expansion of degrees of freedom of lower branches and "JIS Z 8402-3 Accuracy (accuracy and accuracy) of measurement method and measurement result - Part 3: Standard measurement Intermediate accuracy of method ", but it is esoteric.
Therefore, using the artificial data on blood pressure measurement of human beings, when comparing the standard branching experiment with the case of using as a staggered type branching experiment, the analysis method in EMS and REML and the result Explain the view carefully.
