Gender effects across three groups of age at exposure.

Figshare2015-12-02 更新2026-04-29 收录

性别差异死亡率

年龄别死亡率分析

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https://figshare.com/articles/dataset/_Gender_effects_across_three_groups_of_age_at_exposure_/753559 数据链接链接失效反馈

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*age groups combined.**Risk of males to die at an earlier age is higher than that of females.

创建时间：

2015-12-02

Demographic Perspectives on Mortality of Covid-19 and Other Epidemics

流行病死亡率评估

年龄别死亡率分析

What would a hypothetical one million US deaths in the Covid-19 epidemic mean for mortality of individuals at the population level? To put estimates of Covid-19 mortality into perspective, we estimate

NBER2020-04-01 更新50

Univariable and multivariable association between mortality and gender, with men as the reference in smear-positive Pulmonary Tuberculosis HIV co-infected patients who were treated for tuberculosis and were eligible for analysis in Kenya, 2012 to 2015 (N = 9026).

性别差异死亡率

结核病-HIV共感染

NIAID Data Ecosystem40

Child Mortality Estimation: Estimating Sex Differences in Childhood Mortality since the 1970s

性别差异死亡率

健康资源分配公平性

IntroductionProducing estimates of infant (under age 1 y), child (age 1–4 y), and under-five (under age 5 y) mortality rates disaggregated by sex is complicated by problems with data quality and avail

Figshare2016-01-19 更新40

Limits to human life span through extreme value theory

寿命统计

年龄别死亡率分析

There is no scientific consensus on the fundamental question whether the probability distribution of the human life span has a finite endpoint or not and, if so, whether this upper limit changes over

Taylor & Francis Group2019-10-25 更新40

Age-specific mortality rates for the Santa Clara County (SCC) unhoused population and the SCC general population (n = 974 deaths; 88,658 deaths respectively) and age-specific mortality rate ratios in 2019.

无家可归人群

年龄别死亡率分析

Age-specific mortality rates for the Santa Clara County (SCC) unhoused population and the SCC general population (n = 974 deaths; 88,658 deaths respectively) and age-specific mortality rate ratios in

NIAID Data Ecosystem40

Gender effects across three groups of age at exposure.

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