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For tests covered in recent evidence reports (cancer antigen 125 [CA-125 [CA-125east cancer genes 1 and 2 [BRCA1/2]), we anded studies pubreastd subsequent to the reports.
Although we did not design this study to look separately at the contribution of traffic at school versus home, nor was the sample size sufficient to do so, we saw some mild attenuation of residential traffic when we added study-averaged concentrations of BC or NO (but not NO2) to multivariate models, again suggesting that "fresh" primary emissions may be important constituents.
Considering the outcome of our literature research, we finally added study examples to each transparency criterion and conducted final expert interviews.
In Model 4, we also added study-related variables, such as completion of a course on finance or mathematics, and study progress in number of semesters.
As a control for unmeasured differences in the study period, due to changes in guidelines over time, we added the study period as a factor in the multivariate Cox regression analysis.
We added each study sequence to the appropriate alignment, in some cases along with the 5 most closely related sequences found in the HIVDB.
For the Embase search strategy we added the study design terms used by the UK Cochrane Centre (Lefebvre 2011).
Then we added the study with the next largest weight, and plotted the corresponding random-effects 95% confidence interval for the two-study meta-analysis (the second segment from the top in the figure).
Additionally, we added original studies which were referenced in included studies that cited their psychometric properties.
We added 2 studies in Asian populations and 2 studies in populations of European descent not included in the previous meta-analyses.
Then we continued adding studies, one at a time, until all meta-analytic confidence intervals were plotted.
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