Exact(4)
As with the sample structure (general vs. violent recidivism rate), the predictor pattern largely overlapped and no predictor especially reflected clinical psychiatric significance.
Predetermined clustering of RQ values for the same genes according to the predictor pattern was not possible for the 16 tumors in this set, since no groups applicable for statistics could be formed.
Positive, negative, and unclassified plant sequences were scored for predicted myristoylation sites using Prosite pattern PS00008 [ 19], the higher eukaryote settings for the "NMT Myr Predictor" website [ 49], the modified predictor pattern of Boisson, Giglione, and Meinnel [ 17], and the Expasy Myristoylator website [ 25] as described by the authors.
However, recent findings on the topic showed a differential predictor pattern for PTSD and depression among earthquake survivors indicating that although certain factors (e.g. grater fear during the earthquake and female gender) relate to PTSD, lower education and loss of family members tend to relate to depression and not to PTSD [ 13, 14].
Similar(56)
Age groups demonstrating similar predictor patterns were combined and bivariate analyses repeated.
Our analyses demonstrate unique demographic and dietary predictor patterns for serum PBDE-47, -99, -100 and -153.
Our analyses demonstrate unique predictor patterns for PBDE-47, -99, -100 and -153 based on demographic, lifestyle and dietary characteristics of women.
While our attempt to identify unique predictor patterns of PBDE body burden revealed several potential predictors such as intake of fatty foods (high fat dairy and processed meat), and number of household electronics, we did not observe a single predictor or a consistent pattern of predictors representing a significant source of exposure for any individual PBDE congener.
Using generalized gamma or log logistic regression models, we identified unique predictor patterns for each PBDE congener and calculated the total variance explained by the combination of predictors (adjusted R) (Table 4).
The identified predictors, temporal patterns and patterns between catchments will support the development of low flow monitoring systems and determine those catchments where adaption measures should aim more at increasing groundwater recharge.
Likewise, we find that the DTU organization of strains is a poor predictor of patterns of CNV in individual chromosomes.
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