Estimation method for mixed-effect coefficient semiparametric regression model
Moreover, the importance of examining evoked fMRI responses, whole brain activation maps, maps from multiple individual subjects, and mixed-effect group maps are discussed in the context of selecting statistical criteria.
Mixed-effect ANOVAs were used to test the dependent variable differences for different external torque conditions and different fingers at the VF and IF levels.
Determination of population pharmacokinetic parameters for amikacin in neonates using mixed-effect models
Whole blood concentration data were evaluated by nonlinear mixed-effect modeling using the program NONMEM and were characterized using a one-compartment model.
锘緾onsider the mixed effect model yij = ai + xit尾 + eij,,j = 1,2, 鈥⑩€⑩€? mi, i = 1,2,鈥? n ,where Eai = 0,Ea2i = 蟽a2,Eeij = 0,Eeij2 = 蟽f^.The estimations of P,aa2 and 蟽e2 are established.We derive the strong consistency of the estimators. We also consider the problem of testing that a\ 鈥?0. A test for this problem is given.