评估与他汀类药物使用相关的II型糖尿病最易感亚组：来自电子健康记录数据的证据

数据集获取（Figshare）

• 源站标题：Assessing the Most Vulnerable Subgroup to Type II Diabetes Associated with Statin Usage: Evidence from Electronic Health Record Data
• DOI：10.6084/m9.figshare.21732852.v1
• 发布日期：2022-12-15
• 文件数：6 个
• 文件总体积：529.87 KB
• 源站页面：https://tandf.figshare.com/articles/dataset/Assessing_the_Most_Vulnerable_Subgroup_to_Type_II_Diabetes_Associated_with_Statin_Usage_Evidence_from_Electronic_Health_Record_Data/21732852

命令行下载

curl -L -o "uasa_a_2157727_sm0391.docx" "https://ndownloader.figshare.com/files/38560755"
curl -L -o ".DS_Store" "https://ndownloader.figshare.com/files/38560758"
curl -L -o "README.docx" "https://ndownloader.figshare.com/files/38560761"
curl -L -o "appendix.pdf" "https://ndownloader.figshare.com/files/38560764"
curl -L -o "helper.R" "https://ndownloader.figshare.com/files/38560767"
curl -L -o "main.R" "https://ndownloader.figshare.com/files/38560770"

文件清单

• uasa_a_2157727_sm0391.docx（45.22 KB）
• .DS_Store（6.15 KB）
• README.docx（16.86 KB）
• appendix.pdf（441.76 KB）
• helper.R（16.23 KB）
• main.R（3.65 KB）

文件总体积 529.87 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

There have been increased concerns that the use of statins, one of the most commonly prescribed drugs for treating coronary artery disease, is potentially associated with the increased risk of new-onset Type II diabetes (T2D). Nevertheless, to date, there is no robust evidence supporting as to whether and what kind of populations are indeed vulnerable for developing T2D after taking statins. In this case study, leveraging the biobank and electronic health record data in the Partner Health System, we introduce a new data analysis pipeline and a novel statistical methodology that address existing limitations by (i) designing a rigorous causal framework that systematically examines the causal effects of statin usage on T2D risk in observational data, (ii) uncovering which patient subgroup is most vulnerable for developing T2D after taking statins, and (iii) assessing the replicability and statistical significance of the most vulnerable subgroup via a bootstrap calibration procedure. Our proposed approach delivers asymptotically sharp confidence intervals and debiased estimate for the treatment effect of the most vulnerable subgroup in the presence of high-dimensional covariates. With our proposed approach, we find that females with high T2D genetic risk are at the highest risk of developing T2D due to statin usage. Supplementary materials for this article are available online.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21732852.v1（source: https://tandf.figshare.com/articles/dataset/Assessing_the_Most_Vulnerable_Subgroup_to_Type_II_Diabetes_Associated_with_Statin_Usage_Evidence_from_Electronic_Health_Record_Data/21732852）。