Mortality Data Sample Clauses

Mortality Data. The Contractor must report mortality data annually, by age and gender, in the following categories:
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Mortality Data. The Contractor must report mortality data annually, by age and gender, in the following categories: The number of Enrollees who died during the past year; Percentage who died in hospitals; Percentage who died in nursing facilities; Percentage who died in non-institutional settings; and Cause of death.
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Mortality Data. In a form and format specified by EOHHS, the Contractor shall report mortality data annually, by age and gender, in the following categories: The number of Enrollees who died during the past year; Percentage who died in hospitals; Percentage who died in nursing facilities; Percentage who died in community-based settings; and Cause of death.
Sample 1
Mortality Data. I obtain data for infant and neonatal mortality from the retroactive fertility histories found in the births sample survey. This includes all births to female respondents aged 13-45 at the time of the survey for waves 1 and 2 and all female respondents aged 15-45 for survey wave 4. I limit the sample to include children with non-missing information regarding mother’s district of residence, child’s age, and child’s age at death if deceased. The group of mothers used for analysis includes only those that ever lived within 100 km of a storm path, allowing for a more homogeneous sample. Table 1 presents the averages of core demographic characteristics for children and mothers in each sub-group of the sample, weighted using provided survey weights. Figure 1 illustrates the weighted size of the sub-sample in each district in the treatment and control groups. I find these groups to be balanced in the outcome variables of interest, namely neonatal mortality and infant mortality, meaning that underlying differences in mothers and children near or far from storm paths are unlikely to bias estimates. I do note that mothers in districts ever within 50 km of a storm path are more highly educated by less than 1 year and are more likely to be literate, have less children, and live in a rural area.‌
Sample 1

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