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. 2017 Jul 26;118(5):2636–2653. doi: 10.1152/jn.00318.2017

Table 2.

Unbounded models: nested model hierarchical analysis

NLL
LLR
Ub U+1= {Ub,η} U+1Ub U+2 = {U+1,μ}U+1 U+2 = {U+1,z0}U+1 U+2 = {U+1,z}U+1 Resulting Model Parameters
pDDM, cbDDM Ub= {σ} 313 [309, 387] 303*** [291, 376] 12** [9.0, 14] −412 [−485, −308] −31 [−48, −1.4] 1.5* [0.2, 2.1] U={σ,η}
usDDM Ub={σ,λ,τλ} 433*** [387, 483] 501 [460, 571] −65 [−120, 2.7] U={σ,λ,τλ}
hpfDDM§ Ub={σ,τ} 302*** [290, 375] −459 [−783, −276] −212 [−251, −164] 0.00 [−0.00, 0.00] U={σ,τ}

Values are medians [quartiles].

*

Marginally significant improvement (0.05 > P > 0.01) for 4 subjects.

**

Significant improvement (P < 0.01, χ12>6.6) for 11 subjects. For the remaining 1 subject, additional free parameter did not alter the fit (χ2 = 0).

***

(Bold) High statistical significance (P < 0.01, χ12>6.6) for all 12 subjects.

§

For hpfDDM, threshold expression Eq. 15 is undefined when τ = 0.