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The method utilizes data acquired with high angular resolution diffusion imaging (HARDI), a measurement method that fulfills clinical requirements.
The within-person self-controlled case series method utilizes data only from cases (individuals with stroke) and allows estimation of the relative incidence of a stroke in defined intervals following acute exposures (chickenpox) compared to other periods in the same individuals [ 15].
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Chinese scholars adopt the same method, utilizing data from a 2005 survey of 1%% of the population to compare education opportunities of people born from 1975 to 1979 and those from 1980 to 1985.
The method utilizes process data from flow sheet diagram, which is already available at the preliminary design stage.
The proposed method utilizes the data that can reflect the real operational condition of power systems, while the B-coefficient method and the inverse Jacobian method utilize the off-line data and models.
The method utilizes the data network and the electrical network to control power usage for participation in demand response (DR) programs, which are regarded as the killer applications of the emerging smart grid (SG).
The GREML method can utilize data on very distantly related individuals, individuals that are typically considered "unrelated" in traditional GWAS.
However, none of these methods utilize information from external spatial data.
To exemplify these methods we utilized data from a nested case control study examining repeated measures of urinary phthalate metabolites during pregnancy in association with preterm birth.
The method utilizes the velocity data based on Floquet wave homogenization.
Using genomic promoter sequences and gene expression data as input, our method utilizes the gene expression data in a novel way.
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