Gompertz distribution: Parameter estimation (before and after lockdown).

NIAID Data Ecosystem2026-03-12 收录

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https://figshare.com/articles/dataset/Gompertz_distribution_Parameter_estimation_before_and_after_lockdown_/16597112 数据链接链接失效反馈

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资源简介：

Gompertz distribution: Parameter estimation (before and after lockdown).

创建时间：

2021-09-09

Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions

森林生态

死亡率模型

Large uncertainties characterize forest development under global climate change. Although recent studies have found widespread increased tree mortality, the patterns and processes associated with tree

DataONE2016-06-08 更新110

Sensitivity analysis: range of parameter values considered and influence on the relative reduction in 3-year cumulative incidence in arms A and B compared to arm C in each country.

干预效果流行病学评估

临床试验敏感性分析

Regression exploring the linear dependence of the relative reduction in 3-year cumulative incidence in arms A and B compared to arm C (on the linear-scale) on process parameters (see File S1 for detai

Figshare2015-12-02 更新30

Estimated impact of vaccines and antivirals on age-specific total coverage (infection and vaccination) of the A(H1N1) influenza, and estimated intervention impact on timing and maximum prevalence of symptomatic infections.

干预效果流行病学评估

年龄分层流行病学建模

Figshare2015-12-02 更新10

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 Ecosystem40

Harborview Burns – 1974 to 2009

烧伤护理

死亡率模型

BackgroundBurn demographics, prevention and care have changed considerably since the 1970s. The objectives were to 1) identify new and confirm previously described changes, 2) make comparisons to the

Figshare2016-01-19 更新20

Gompertz distribution: Parameter estimation (before and after lockdown).

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