Possibilities for analysis of such data are also, as also mentioned by Dr. Lin, easier due to cheaper opportunities to collect very large amounts of data and the ability store them (think: cheaper computing for genomic sequencing) (Wylie and Davies 2015; Raj 2014).
Moreover, as alluded to in a recent review of studies of the CYP17 polymorphisms and hormone levels [ 38], the published literature is compromised because many reported 'associations' were not statistically significant, and the possibility of publication bias in selective reporting of such data cannot be excluded.
The sheer volume and semantic richness of such data opens enormous possibilities for utilizing and analyzing it for personal [7, 8], commercial [9, 10] as well as societal purposes [11 13].
2, 3 Typical shortcomings of such data include limited linkage possibilities, incomplete temporal or geographic coverage, restriction to selected patient groups, and lack of systematic follow-up.
Of these, the lack of post-discharge information and the fragmentary nature of such data could affect the clinical outcome and the possibility of quantifying the true cost.
Due to the potentially sensitive nature of such data, there has been considerable anxiety regarding the possibility of privacy breaches, resulting in personal information being misused[ 25].
If a subset of data we analyse appears comparable, we will investigate the possibility of pooling such data via formal meta-analysis analytical techniques.
9 If a subset of data we analyse appears comparable, we will investigate the possibility of pooling such data via formal meta-analysis analytical techniques.
In order to eliminate the possibility of such bias the data from the remaining 29 subjects was used to evaluate the lead subset.
As new sources of digital data proliferate in developing economies, there is the exciting possibility that such data could be used to benefit the world's poor.
