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. 2021 Dec 8;127(1):255–266. doi: 10.1152/jn.00532.2020

Table 1.

Mixed-effect logistic regression models for the right arm choice in RH, LH, and control groups

Right Arm Choice Mixed-Effect Logistic Regression Model
Group
RH
LH
Control
Models\Variables (1) (2) (3) (1) (2) (3) (1) (2) (3)
Constant −0.407
(0.260)
−0.241
(0.179)
−0.390
(0.287)
0.681**
(0.219)
0.561***
(0.132)
0.816**
(0.272)
0.835***
(0.169)
0.300**
(0.112)
0.845***
(0.169)
Effort −2.403***
(0.325)
−2.441***
(0.313)
−2.084***
(0.486)
−2.299***
(0.482)
−4.883**
(1.636)
−4.915**
(1.640)
Success 0.258*
(0.121)
0.217
(0.125)
0.621***
(0.166)
0.793***
(0.205)
0.115*
(0.059)
0.113
(0.107)
Observ. 7,284 7,284 7,284 6,066 6,066 6,066 4,250 4,250 4,250
LLH −2,915 −4,688 −2,868 −2,820 −3,743 −2,553 −1,812 −2,848 −1,808
AIC 5,838 9,385 5,748 5,649 7,495 5,118 3,632 5,705 3,629

Model 3 (bold), which included both effort and success predictors, was the selected model for each group based on AIC and log-likelihood ratio tests. However, note that whereas the coefficient of the effort term is largely significant in all 3 models, the coefficient for success is only significant in the LH model (P < 0.001). AIC, Akaike information criterion; LH, left hemiparesis; LLH, log-likelihood; Observ., observation; RH, right hemiparesis.

*P < 0.05, **P < 0.01, ***P < 0.001.