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Data set survey population of the american intellectual union excel

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The article by Miller et al. No effects were seen for other causes of death. So what is the difference? As noted by Miller et al. They were not able to reproduce the same marginals that Kaplan et al. We attempted the same analysis as Miller et al. Something has clearly changed with the dataset since the time of the original study. We know of no definitive way to validate one version of this dataset over another, so we are unable to comment on the accuracy of either of these datasets.

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Instead, this editorial focuses on what we believe to be more extensive data that are publically available to address this question of suicide risk among veterans. It should be noted that because of the rarity of suicide, the first study that relied on NHIS interviews later linked to NDI death records from the time of interview through 1997 was based on analysis of only 508 suicides.

The newer study with NDI data through 2006 had 1317 suicides, still a relatively small number.

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Thus, both the previous and new analyses were based on a nationally representative but still small proportion of the population. The question of whether veterans are at increased risk of suicide remains a critical one, and data set survey population of the american intellectual union excel noted by the 2008 Blue Ribbon Working Group on Suicide Prevention 3 and the two studies reviewed here, the results are equivocal. In an attempt to obtain a more definitive answer, we took another route than the two previous studies and relied on the most complete enumeration available on suicides.

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We examined cases for men aged 17 years and older, which included a total of 27 391 deaths classified as confirmed suicides. Note that this estimate included active military, during which time there were 854 suicides.

This estimate was slightly biased downward because it was adjusted for suicides among both males and females among the active military although we would expect few suicides among females. To obtain the proportion of veterans in the population, we used data from the 2009 American Community Survey, 7 which indicated that 18. This represented an overall risk ratio of 24.

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Subtracting out the 231 suicides in amounts proportional to the age distribution of men in the active military 8 revealed that for the youngest group age 17—24 yearsthe relative risk was 3. Between the ages of 25 to 75 years, the relative risk was fairly constant at approximately 1.

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The absolute magnitude of the risk per 100 000 is presented in Table 1 and Figure 2. Unlike nonveterans, in whom the highest risk of suicide was for those older than 75 years 24 per 100 000the youngest veterans, aged 17—24 years, had the highest risk 61 per 100 000.

These data revealed that there was a strong age—by-veteran status interaction in terms of suicide, with veterans of recent military actions being at much higher relative and absolute risk of suicide than veterans of less recent wars or conflicts.