AD完成与COVID-19关联分析数据集
COVID-19疫情前AD完成情况的未调整与多变量关联分析数据集,以表格形式呈现统计模型结果。

基本信息
资源简介
AD完成与COVID-19关联分析数据集
【数据集背景】
本数据集源站标题为《Unadjusted and multivariable associations with AD completion prior to COVID-19, March 1, 2020 – December 31, 2022; subsequent models include previous covariates, with additional covariates included in higher numbered models.》。配套论文《Advance directives prior to COVID-19 diagnosis in a United States national healthcare system》发表于 PLOS One(2025),DOI:10.1371/journal.pone.0338825。源站首次发布:2025-12-19。
【数据内容】
源站原始描述:Unadjusted and multivariable associations with AD completion prior to COVID-19, March 1, 2020 – December 31, 2022; subsequent models include previous covariates, with additional covariates included in higher numbered models
【数据结构与技术规格】
文件数 1 个,合计 13.82 KB。Table 2.xls:application/vnd.ms-excel,13.82 KB。数据集 DOI:10.1371/journal.pone.0338825.t002。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Infectious Diseases。主题标签:varied substantially across、progress note titles、health care utilization、health care preferences、electronic health record、acute respiratory failure、82 &# 8211、76 &# 8211、advance directives prior、black ), 9。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/_p_Unadjusted_and_multivariable_associations_with_AD_completion_prior_to_COVID-19_March_1_2020_December_31_2022_subsequent_models_include_previous_covariates_with_additional_covariates_included_in_higher_numbered_models_p_/30923259
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Schwartz, Amy R.; Tate, Janet P.; Lehmann, Lisa Soleymani; King, Joseph T.; Walenczyk, Kristie M.; Levin, Woody; et al. (2025). Unadjusted and multivariable associations with AD completion prior to COVID-19, March 1, 2020 – December 31, 2022; subsequent models include previous covariates, with addit…
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
按页面 Download 按钮获取。
需要用于商业化训练或医疗器械注册(NMPA/FDA)?
公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。




