Sentence examples for linkage dataset from inspiring English sources

This was accomplished first by linking the respondents postal code of residence to the Statistics Canada Postal Code Conversion File (PCCF) geographic linkage dataset (Statistics Canada [2009]) and then by linking the PCCF to the CT data file.

We created a metric based on grant acknowledgements from MEDLINE, using a grant-to-article linkage dataset from a previous study [46].

A third list summarizes all findings that show overlap with the linkage analysis in adult ADHD patients published earlier by the same group (Romanos et al. 2008), and in some instances also a family-based GWAS based on the 50 K linkage dataset (Table 3 in Lesch et al. 2008).

Using a large linkage dataset, we investigated the clinical hypothesis as to whether specific chronic disease multimorbidity pairs are associated with differences in healthcare transitions and associated healthcare costs, and compared it with populations with only one of the respective matched conditions.

All marker trait association was performed by Haley-Knott regression using the lm function in R. Biparental mapping in individual families was performed with the linkage dataset using forward regression with significance determined by 1000 permutations and a genome-wide α level of 0.01.

Consequently, it is crucial that results from E linkage datasets reflect accurately the length of stay in hospital by post-hospital destination.

Multiparental mapping was performed using forward regression with family as a covariate and by fitting SNP effects as nested within family using the linkage genotypic dataset or by fitting SNPs as non-nested effects using the GWAS genotypic dataset.

20 24 25 The linkage of datasets is illustrated in the flow chart shown in figure 1.

Allowing linkage of datasets from different sectors to analyze broader determinants of health [ 5].

Linkage of datasets using an encrypted version of the unique health insurance number given to all Ontario residents allows for examination of individuals' complete health services use across health care domains.

Thus, while the anonymization procedure is intended to impeach any linkage between the dataset and individuals, using this procedure allows to potentially retrieve the mobility and calling pattern of targeted users given the access to as little information as home and work addresses.