Using Administrative Data to Study Child Health

pattern recognition in maintenance data using methodologies data minitng (cade study isfahan regional power electric company)

فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...

Using administrative data to assess health care outcomes.

community practice were not significantly different 1 year after PTCA or CABG surgery, consistent with a meta-analysis that summarized eight randomized trials comparing these procedures. However, of the three largest randomized trials in the meta-analysis, only the Randomised Intervention Treatment of Angina (RITA) trial enrolled a population that appeared clinically comparable to the observati...

Developing a non-categorical measure of child health using administrative data.

BACKGROUND Few studies have examined the potential of linked administrative data for research on child health. This analysis describes the application of a non-categorical survey-based tool, the Children with Special Health Care Needs (CSHCN) Screener, to administrative data. DATA AND METHODS Five Screener items were applied to linked administrative health data from Population Data British Co...

Parental Responses to Child Support Obligations: Evidence from Administrative Data∗

We leverage non-linearities in Danish child support guidelines and rich administrative data to provide causal estimates of parental behavioral responses to child support obligations. We estimate that a 1, 000 DKK ($160) increase in a father’s obligation is associated with a 273 DKK ($45) increase in his payment. A higher obligation reduces father-child co-residence, pointing to substitution bet...

Monitoring Health Care Using National Administrative Data Collections