估计生存结局下的最优动态治疗策略数据集
基于苏格兰早期类风湿关节炎队列的观测数据，用于估计右删失生存结局下最优动态治疗策略的统计方法补充材料。
基本信息
资源简介
估计生存结局下的最优动态治疗策略数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 890.42 KB，主题涵盖 Accelerated failure time model、Balancing weights、Causal inference、Censored data、Precision medicine，可用于统计建模、特征工程与队列分析，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes》。配套论文《Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes》发表于 Journal of the American Statistical Association（2019），DOI：10.1080/01621459.2019.1629939。项目资助方：This work was supported by a doctoral scholarship from the Fonds de recherche du Québec Nature et Technologies (Ref. 199803) and by awards (INF-GU-168) from (1) the Translational Medicine Research Collaboration, a consortium made up of the Universities of Aberdeen, Dundee, Edinburgh and Glasgow, the four associated NHS Health Boards (Grampian, Tayside, Lothian and Greater Glasgow & Clyde), and Pfizer and (2) from the Chief Scientific Office (Ref ETM-40).。源站首次发布：2021-09-29。
【数据内容】
源站原始描述：The statistical study of precision medicine is concerned with dynamic treatment regimes (DTRs) in which treatment decisions are tailored to patient-level information. Individuals are followed through multiple stages of clinical intervention, and the goal is to perform inferences on the sequence of personalized treatment decision rules to be applied in practice. Of interest is the identification of an optimal DTR, that is, the sequence of treatment decisions that yields the best expected outcome.…
【数据结构与技术规格】
文件数 1 个，合计 890.42 KB。uasa_a_1629939_sm2087.zip：application/zip，890.42 KB。数据集 DOI：10.6084/m9.figshare.8307563.v4。
【主题与分类】
源站学科分类：Medicine、Molecular Biology、Pharmacology、Biotechnology、Immunology、Information Systems not elsewhere classified。主题标签：Accelerated failure time model、Balancing weights、Causal inference、Censored data、Precision medicine、Rheumatoid arthritis。
【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://tandf.figshare.com/articles/dataset/Estimating_Optimal_Dynamic_Treatment_Regimes_With_Survival_Outcomes/8307563
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes. Taylor & Francis. Simoneau, Gabrielle; Moodie, Erica E. M.; Nijjar, Jagtar S.; Platt, Robert W.; Investigators, the Scottish Early Rheumatoid Arthritis Inception Cohort
【使用注意】
· 源站最后修改于 2023-06-05，引用时请注意版本时效。
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Estimating Optimal Dynamic Treatment Regimes With Survival Outcomes
- DOI：10.6084/m9.figshare.8307563.v4
- 发布日期：2021-09-29
- 文件数：1 个
- 文件总体积：890.42 KB
- 源站页面：https://tandf.figshare.com/articles/dataset/Estimating_Optimal_Dynamic_Treatment_Regimes_With_Survival_Outcomes/8307563
命令行下载
curl -L -o "uasa_a_1629939_sm2087.zip" "https://ndownloader.figshare.com/files/30925596"
文件清单
uasa_a_1629939_sm2087.zip（890.42 KB）
文件总体积 890.42 KB（源站 API 实测）。
数据说明
The statistical study of precision medicine is concerned with dynamic treatment regimes (DTRs) in which treatment decisions are tailored to patient-level information. Individuals are followed through multiple stages of clinical intervention, and the goal is to perform inferences on the sequence of personalized treatment decision rules to be applied in practice. Of interest is the identification of an optimal DTR, that is, the sequence of treatment decisions that yields the best expected outcome. Statistical methods for identifying optimal DTRs from observational data are theoretically complex and not easily implementable by researchers, especially when the outcome of interest is survival time. We propose a doubly robust, easy to implement method for estimating optimal DTRs with survival endpoints subject to right-censoring which requires solving a series of weighted generalized estimating equations. We provide a proof of consistency that relies on the balancing property of the weights and derive a formula for the asymptotic variance of the resulting estimators. We illustrate our novel approach with an application to the treatment of rheumatoid arthritis using observational data from the Scottish Early Rheumatoid Arthritis Inception Cohort. Our method, called dynamic weighted survival modeling, has been implemented in the DTRreg R package. 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.8307563.v4（source: https://tandf.figshare.com/articles/dataset/Estimating_Optimal_Dynamic_Treatment_Regimes_With_Survival_Outcomes/8307563）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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