肺分配系统统计后果数据集:恢复信息与减少紧急模型偏差
包含10,740名肺移植候选者等待名单数据的结构化表格,用于估计紧急程度并校正统计偏倚。

基本信息
资源简介
肺分配系统统计后果数据集:恢复信息与减少紧急模型偏差
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 21.57 KB,主题涵盖 Dependent Censoring、Correlated Follow-up Windows、Multiple Imputation、Lung Allocation Score、Pseudo-Observations,可用于统计建模、特征工程与队列分析,CC0 许可开放获取。
【数据集背景】
本数据集源站标题为《Dataset for: Statistical Consequences of a Successful Lung Allocation System - Recovering Information and Reducing Bias in Models for Urgency》。配套论文《Statistical consequences of a successful lung allocation system - recovering information and reducing bias in models for urgency》发表于 Statistics in Medicine(2017),DOI:10.1002/sim.7283。源站首次发布:2017-04-06。
【数据内容】
源站原始描述:The lung allocation system has reduced the number of waitlist deaths by ranking transplant candidates based on a lung allocation score (LAS) that requires estimation of the current 1-year restricted mean waitlist survival (urgency). Fewer waitlist deaths and the systematic removal of candidates from the waitlist for transplantation present statistical challenges that must be addressed when using recent waitlist data. Multiple overlapping 1-year follow-up windows are used in a restricted mean mod…
文件 Analysis Code.R 为文本内容,开头为:library(gee) library(nleqslv) library(gdata) library(survival) # Load functions …
【数据结构与技术规格】
文件数 2 个,合计 21.57 KB。data.csv:text/plain,10.07 KB。Analysis Code.R:text/plain,11.50 KB。数据集 DOI:10.6084/m9.figshare.4818349.v1。
【主题与分类】
源站学科分类:Statistics not elsewhere classified、Other biomedical and clinical sciences not elsewhere classified。主题标签:Dependent Censoring、Correlated Follow-up Windows、Multiple Imputation、Lung Allocation Score、Pseudo-Observations、Statistics、Medicine。
【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://wiley.figshare.com/articles/dataset/Dataset_for_Statistical_Consequences_of_a_Successful_Lung_Allocation_System_-_Recovering_Information_and_Reducing_Bias_in_Models_for_Urgency/4818349
使用许可:CC0(https://creativecommons.org/publicdomain/zero/1.0/)。
规范引用:Tayob, Nabihah; Murray, Susan (2017). Dataset for: Statistical Consequences of a Successful Lung Allocation System - Recovering Information and Reducing Bias in Models for Urgency. Wiley. Dataset
【使用注意】
· 源站最后修改于 2023-05-30,引用时请注意版本时效。
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。
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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。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放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)
- 源站标题:Dataset for: Statistical Consequences of a Successful Lung Allocation System - Recovering Information and Reducing Bias in Models for Urgency
- DOI:10.6084/m9.figshare.4818349.v1
- 发布日期:2017-04-06
- 文件数:2 个
- 文件总体积:21.57 KB
- 源站页面:https://wiley.figshare.com/articles/dataset/Dataset_for_Statistical_Consequences_of_a_Successful_Lung_Allocation_System_-_Recovering_Information_and_Reducing_Bias_in_Models_for_Urgency/4818349
命令行下载
curl -L -o "data.csv" "https://ndownloader.figshare.com/files/7989562"
curl -L -o "Analysis Code.R" "https://ndownloader.figshare.com/files/7989580"
文件清单
data.csv(10.07 KB)Analysis Code.R(11.50 KB)
文件总体积 21.57 KB(源站 API 实测)。
数据说明
The lung allocation system has reduced the number of waitlist deaths by ranking transplant candidates based on a lung allocation score (LAS) that requires estimation of the current 1-year restricted mean waitlist survival (urgency). Fewer waitlist deaths and the systematic removal of candidates from the waitlist for transplantation present statistical challenges that must be addressed when using recent waitlist data. Multiple overlapping 1-year follow-up windows are used in a restricted mean model that estimates patient urgency based on updated risk factors at the start of the window. In simulation studies, our proposed multiple imputation procedure was able to produce unbiased parameter estimates with similar efficiency to those obtained if censoring had never occurred. The analysis of 10,740 lung transplant candidates revealed that for most risk factors incorporating additional follow-up windows produced more efficient estimates.
许可
CC0
引用
学术使用请引用 DOI 10.6084/m9.figshare.4818349.v1(source: https://wiley.figshare.com/articles/dataset/Dataset_for_Statistical_Consequences_of_a_Successful_Lung_Allocation_System_-_Recovering_Information_and_Reducing_Bias_in_Models_for_Urgency/4818349)。
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