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To estimate the probability of having a non-zero dose of cumulative HAART in any interval, a logistic model to the binary (HAART = 0, HAART>0) dose data was used, including the same predictors are in the continuous-dose portion of the mixture distribution.
Significant predictors are in bold.
Statistically significant predictors are in bold (p < 0.05).
Some of these predictors are in keeping with what may be reasonably expected.
Larger models may lead to better performance when all predictors are in fact predictive of the outcome [ 10].
The distribution of risk estimates corresponding to all the predictors are in Additional file 1: Figure S1a (logistic regression) and Figure S1b (RFPM).
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It has been suggested that accuracy of existing maps used to derive predictors is in part responsible for the limited success of bird distribution models.
With the maximum allowed distance for predictions of 1,000 nucleotides from the reference transcription start sites, the sensitivity of predictors was in the range 32%to56%6%, while the positive predictive value was in the range 79%to93%3%.
Three predictors were in the anthropogenic category, and two in the environmental category, with minimum temperature and county human population being most strongly correlated (highest |b*|).
Other disorder predictors were in large agreement with the HCA plot.
This lack of CAM-predictors is in accordance with the Swiss survey of Quattropani et al [ 10].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com