… In this subsection, I will demonstrate how linking can be used to re-identify de-identified
data. The National Association of Health Data Organizations (NAHDO) reported that 44 states …

… to find a simple approach to identify apparently healthy patients who were insulin resistant
and at an increased risk of cardiovascular disease and other clinical syndromes related to this …

… To identify groups at higher risk for undiagnosed diabetes, we used the tree function … , WA)
to construct classification trees. Classification trees are an exploratory method for identifying …

… In this letter we extend the above ideas to find a pair of segments, one from each of two long
… to the second largest element of H not associated with the first traceback. A simple example …

… low-risk group corresponds well to the group of patients not likely to obtain a reduction in
mortality from primary angioplasty according to Kent and coworkers. In contrast to our results, …

… Because the simple algorithm is so much easier to implement and requires no training data,
we recommend its use, in combination with checking the entire dataset for redundancy in …

… to beam and crack characteristics. These expressions are then applied to studying the inverse
problem-identification … identification is the variation of the first two natural frequencies due …

… alignment to an environment string is not related to sequence similarity in any simple way, …
profile is less sensitive to specific sequence relations and more sensitive to general structural …

… This paper shows, however, that the algorithm can be easily modified for the objective of
efficiently identifying the best arm. The variant I propose adds a simple re-sampling step to …

… (both academic and community based) to complete a self-administered … to identify factors
most predictive of low bone density at the femoral neck in the postmenopausal group. A simple …