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The interaction between stress and positive affect in predicting mortality

Global Health Data Exchange ()2026-05-27 收录

心理社会因素与健康结局

死亡率模型

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资源简介：

The interaction between stress and positive affect in predicting mortality

应用场景：

死亡率模型

野生动物管理

File List Supplement1.xls (md5: 4202b5bccb5ee828f646f50530394c47) Please be advised that the ESA cannot guarantee the forward migration of proprietary file formats such as Excel (.xls) documents.</

DataCite Commons2020-09-03 更新90

Appendix I. A summary of mortality model selection using alternative measures of predator abundance and settler density.

生态学

死亡率模型

A summary of mortality model selection using alternative measures of predator abundance and settler density.

DataCite Commons2020-09-04 更新40

Cause of Death Data

死亡率模型

死亡流行病学

We introduce a new framework for forecasting age-sex-country-cause-specific mortality rates that incorporates considerably more information, and thus has the potential to forecast much better, than an

NIAID Data Ecosystem20

Table_4_Machine Learning for Prediction of Outcomes in Cardiogenic Shock.DOCX

心源性休克预后

死亡率模型

ObjectiveThe management of cardiogenic shock (CS) in the elderly remains a major clinical challenge. Existing clinical prediction models have not performed well in assessing the prognosis of elderly p

NIAID Data Ecosystem40

Fixed and random effects estimates with corresponding 95 confidence intervals (CI) from the negative binomial hurdle model of child mortality.

死亡率模型

负二项Hurdle模型

Fixed and random effects estimates with corresponding 95 confidence intervals (CI) from the negative binomial hurdle model of child mortality.

NIAID Data Ecosystem30