TABLE 5.
Model discrimination, pattern of desensitization
| LR | Data | Median | Average (range) | No. of Sets | p-value |
|---|---|---|---|---|---|
| 2D-I,dp/pd | 2D-I,10-40,dp | 0.27 | 0.38 (−1.45–2.61) | 10 | 0.205 |
| 2D-I,3-700,dp | 3.14 | 2.48 (−0.11–5.40) | 10 | 0.117 | |
| 3D-I,pdd/ddp | 3D-I,pdd | 0.59 | 0.62 (−0.99–1.64) | 10 | <0.01 |
| 0.0000* | 0.069 (−0.0091–0.71) | 10 | >0.246 | ||
| 3D-I,ddp/pdd | 3D-I,ddp | 2.68 | 2.50 (−0.50–5.40) | 10 | 0.044 |
| COO | 1.94 | 1.54 (−1.92–3.89) | 10 | <0.01 | |
| GABAR | 0.71 | 2.17 (0.147–9.49) | 6 | 0.016 | |
| COO,ddp/pdd | COO | 1.56 | 1.74 (−0.26–3.74) | 10 | <0.01 |
| GABAR | 1.12 | 1.44 (−0.07–3.78) | 6 | 0.094 |
Summary of L[LR]s discriminating between models (LR column) with the same number and arrangement of states, but a different pattern of desensitization (see text). Fitting simulated and experimental data using CVF or wSS (*). p-Values calculated using binomial distribution with null hypothesis that the median L[LR] is 0.0 (see Methods). See Fig. 4 C for illustration of L[LR] distributions for 2D data. See Tables 4, 6, and 7 for simulation parameters, number of channels, and number of points selected.