Table 1.
-2LL | d.f. | A.I.C. | Δχ2 | Δd.f. | p | |
---|---|---|---|---|---|---|
Full model | 8157.337 | 4611 | -1064.663 | - | - | - |
Drop βaC | 8158.189 | 4612 | -1065.811 | 0.852 | 1 | 0.356 |
Drop βaU | 8163.715 | 4612 | -1060.285 | 6.378 | 1 | 0.012 |
Drop βcC | 8158.848 | 4612 | -1065.152 | 1.511 | 1 | 0.219 |
Drop βcU | 8161.927 | 4612 | -1062.073 | 4.590 | 1 | 0.032 |
Drop βeC | 8158.512 | 4612 | -1065.488 | 1.176 | 1 | 0.287 |
Drop βeU | 8322.088 | 4612 | -901.912 | 164.752 | 1 | 0.000 |
Best-fitting* | 8160.716 | 4614 | -1067.284 | 3.380 | 3 | 0.337 |
-2LL: minus twice the log likelihood fit of the model; d.f.: degrees of freedom; A.I.C.: Akaike information criterion (calculated as -2LL minus 2d.f.); Δχ2: the chi-square difference between the full and nested models; p: probability
Best fitting model is one which βaC, βcC, and βeC have all been dropped