Sentence examples for death sample from inspiring English sources

Sensitivity differed across the three samples, but was highest in the suicide death sample.

Specificity was 100% for both the control sample and the antidepressant new user sample and was 99.7% for the suicide death sample.

Sensitivity of administrative codes for suicide attempt was low across all samples, with highest sensitivity of 17.0% in the suicide death sample.

In the suicide death sample, one patient had an attempt coded in administrative data on the date of completed suicide, but without a chart notation.

The highest sensitivity (74.3%) was observed in the suicide death sample, and the lowest sensitivity (57.9%) was observed in the control sample.

The suicide death sample was randomly selected from individuals who died of suicide, stratified by year of entry into the depression cohort, four geographic regions of the patient's VHA facility of most use and gender.

Dates were set as years ago with the RISE509, RISE505, Justinian and Black Death samples set to 4,761, 3,701, 1,474, and 667 years ago, respectively.

Most notably, samples derived from autopsy may not represent processes active in life, findings may be influenced by cause of death, samples tend to be derived from older individuals and thus may misrepresent natural history over the course of disease, and histopathology may be affected by the interval between death and sample collection (that is, PMI).

Although cytomegalovirus (CMV) serology was not performed for this patient before her death, samples from the final bronchoscopy grew CMV in fibroblast cell culture many days later (Table 1).

Within 20 minutes after death, samples for western blot and PCR were taken and placed in Trasylol solution (Bayer, Zürich, CH), frozen in liquid nitrogen and stored at -80° C. Tissue samples for immunohistochemistry were rinsed in 0.9% saline, fixed in 4% neutral buffered formalin for 24 hours and finally embedded in paraffin (Histowax, Leica) as previously described [ 26].

Although the stringent standard allows for an accurate identification of the non-survival condition (high specificity, top ten average specificity 0.89), meanwhile, it results in misclassifying partial death samples as survival (low sensitivity, top ten average sensitivity 0.31) (additional file 3).