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Thanks to two decades of falling crime rates, the Reagan-era "lifetime likelihood of victimization" estimates I cited above presumably no longer obtain; indeed, I would expect that the likelihood of victimization right now might be about half what it was when those estimates were created.
Fractional cover estimates were created by combining monthly 0.004 degree resolution, cloud-filled [40] MODIS EVI data with 0.0003 degree (approx. 30-m) resolution 2006 NLCD and 2001 Canadian land cover data to estimate the proportion of each land cover contained in a MODIS pixel.
Event-related estimates were created for each trial type within task conditions (AX, AY, BX, BY, no-go within Emotion and Neutral task versions).
For each tryptophan condition, images of parameter estimates were created for each subject and entered into a second-level group analysis using a one sample t-test at a threshold of P<0.001, uncorrected for multiple comparisons (random effect analysis, n = 12).
Intercensal estimates were created by linear interpolation between 1990 and 2000.
The estimates were created before the scales were created and aggregated, and are included in all analyses.
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In the case of 10-fold cross-validation this means that 10 estimates are created where each is based on 90% of the training data.
The basic idea is that the frozen parameter estimates are created from gene expression array datasets on diverse biological samples from a range of tissues and, therefore, capture the vast heterogeneity within and between samples/arrays.
A second set of exposure estimates was created for the full cohort using estimates of PM2.5 derived from satellite remote sensing observations during the period 2001 2006 [ van Donkelaar et al. 2010; for additional descriptions of the satellite data retrievals, see Supplemental Material (http://dx.doi.org/10.1289/ehp.1104049)].
There is also differential bias in traffic count accuracy by roadway size in the traffic data available for many cities; actual traffic counts are generally collected on a regular basis for highways and major roads, and rough estimates are created for smaller residential roads.
A single 4D data set of these estimates was created, and submitted to permutation testing, as in the analysis of the diffusion-weighted imaging data, resulting in spatial maps that show group differences and correlation with action binding measures in patients.
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Justyna Jupowicz-Kozak
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