The process was initiated using the best bivariate model (identified above; average C = 0.614), and iteratively repeated until the performance of very large p-variable models had been evaluated.
(B ) Maximum likelihood tree constructed from the sequences above using LG/G + I model (best fit model identified with MEGA 6 (http://www.megasoftware.net)) (Hall, 2013 ).
These hits are not of comparable quality to those obtained between the human sequence and the oldest model organism sequences identified above, where we had scores above 100 and cover the full-length sequences.
Using a cut-off probability of above 0.24, the model identified defaulters with 80% certainty.
For each of the 2 outcomes, we developed a pretreatment and a post-treatment predictor model using the variables identified above.
While the multiple linear regression model above identified variables likely to impact shedding concentrations, the logistic model identified variables important for detecting a positive sample (e.g., during surveillance efforts).
Scores for each group's first component (defined as the loadings-weighted sum of PCB congeners) were then entered as the independent variable in a multiple linear regression model along with the covariates identified above.
The boxes in the model correspond to the themes identified above, and the lists within each box show the issues raised by participants during the interviews and focus groups.The lines linking the boxes/themes represent reciprocal causal relationships, acting in both directions.
All the significant factors identified above using bivariate models (three demographic, three attitude, and six knowledge and behavior variables) were included into a multivariable logistic regression analysis to predict future use of PrEP (ie, willing to use PrEP).
As previously, we generated a model (ROC) to predict viral outcome incorporating the genes identified above (see online supplementary figure S3).
