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Furthermore, since this model has two predictors, and cases are removed whenever at least one predictor is missing, there are also necessarily fewer cases available than for the two-level AR(1) model, which had only one predictor. The reason is that the lagged day-level predictor is, by definition, missing for the first day of each person (as well as in the possible case where a person has missing scores on the measurements for the entire previous day of the study). As before, the summary() Imatinib research buy function is used to obtain the model results, which are shown in the lower part of Table ?Table2.2. For Neg1, the fixed day-level inertia was not significant [��010 = 0.10, t(50.7) = 1.7, p = 0.09], and the random effect for this inertia was not significant either [��(u01i) = 0.15, Ivacaftor cell line ��(3)2=4.6, p = 0.2]. However, after we removed the non-significant random effect from the model, the fixed effect estimate became larger and significant [��010 = 0.20, t(449) = 3.6, p Oxymatrine for Pos1, ��010 = 0.28, t(70.8) = 5.5, p