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The cost hypothesis will be tested using the F-test in the cost regressions for the overall rehabilitation settings construct, supplemented by the t-tests for each setting.
The correlation coefficient and A, B parameters were pooled from each settings measurement and mean ± SD were calculated: Our results showed little variability for each setting.
We obtained the following simulation results from averaging 10 different-seed runs for each setting.
In this case the meta-parameter is varied and the cross-validated prediction error is determined for each setting.
This procedure was repeated for n = 100 and n = 1, 000, as well as r = 2, 3, 4, 5, with 20 repetitions for each setting.
Greg Kasavin of GameSpot felt the background music was appropriate for each setting.
Five to ten research questions were identified for each setting.
Table 1 shows patient and care characteristics for each setting.
Five pV curves were done for each setting.
Thus, for RIPPER this would result in 18 different models, one for each setting.
Randomisation was carried out in blocks of 10 for each setting.
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