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The estimates, standard errors and test statistics of the variables in the generalized additive model.

Figshare2015-12-02 更新2026-04-29 收录

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https://figshare.com/articles/dataset/_The_estimates_standard_errors_and_test_statistics_of_the_variables_in_the_generalized_additive_model_/198719 数据链接链接失效反馈

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HF, heart failure; CAD, coronary artery disease.

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2015-12-02

广义加性模型

数据可视化

In the last two decades, the growth of computational resources has made it possible to handle generalized additive models (GAMs) that formerly were too costly for serious applications. However, the gr

DataCite Commons2020-08-27 更新90

Supplemental Material, sj-bst-7-teu-10.1177_1354816620987198 - Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances

旅游经济学

广义加性模型

Supplemental Material, sj-bst-7-teu-10.1177_1354816620987198 for Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, an

DataCite Commons2024-08-28 更新70

Incidence all-cause and Cardiovascular and all-cause mortality per 1000 person-years of follow-up and hazard ratios.

心血管疾病风险建模

生存分析

*Cox models are adjusted for cohort, age, sex,†Cox models are further adjusted for smoking systolic blood pressure, total cholesterol, BMI and prior CVD.CI, confidence interval; HR, hazard ratio; prs,

Figshare2015-12-02 更新20

Robust Estimation for Generalized Additive Models

稳健估计

广义加性模型

This article studies M -type estimators for fitting robust generalized additive models in the presence of anomalous data. A new theoretical construct is developed to connect the costly M -

DataCite Commons2020-09-05 更新80

Variable contribution to the Generalised Additive Model of plant species richness for the Australian Wet Tropics.

物种丰富度建模

广义加性模型

**PFor the full model of plant species richness (all variable model), the null deviance = 44,424, the residual deviance = 26,359, the residual degrees of freedom = 499, the deviance explained = 40.7%

Figshare2015-12-02 更新30

The estimates, standard errors and test statistics of the variables in the generalized additive model.

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