具有筛查史的个体长期筛查结果的推断
提供概率模型评估具有筛查史的个体长期筛查结果，以乳腺癌为例，估计过度诊断和早期发现概率。
基本信息
资源简介
具有筛查史的个体长期筛查结果的推断
【一句话概览】
本数据集是 figshare 公开数据集，收录 2 个文件、合计 119.11 KB，主题涵盖 No-early-detection、Overdiagnosis、Sensitivity、Sojourn time、Symptom-free-life，源站分类为 Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Chemical Sciences not elsewhere classified，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Inference of Long-Term Screening Outcomes for Individuals with Screening Histories》。配套论文《Inference of Long-Term Screening Outcomes for Individuals with Screening Histories》发表于 Statistics and Public Policy（2018），DOI：10.1080/2330443X.2018.1438939。项目资助方：Dr. Kafadar was supported in part by a grant from The Laura and John Arnold Foundation. Dr. Rai was partially supported by Wendell Cherry Chair in Clinical Trial Research and Kentucky Lung Cancer Program (GB170558).。源站首次发布：2018-04-09。
【数据内容】
源站原始描述：We develop a probability model for evaluating long-term outcomes due to regular screening that incorporates the effects of prior screening examinations. Previous models assume that individuals have no prior screening examinations at their current ages. Due to current widespread medical emphasis on screening, the consideration of screening histories is essential, particularly in assessing the benefit of future screening examinations given a certain number of previous negative screens. Screening p…
文件 SPP-suppl.tex 为文本内容，开头为：\documentclass[12pt]{article} \usepackage{amsmath} \usepackage{graphicx,psfrag,epsf} \usepackage{enumerate} \usepackage{natbib} \usepackage{url} % not cru…
【数据结构与技术规格】
文件数 2 个，合计 119.11 KB。SPP-suppl.tex：text/x-tex，5.02 KB。SPP-supplement.pdf：application/pdf，114.10 KB。数据集 DOI：10.6084/m9.figshare.5878663.v2。
【主题与分类】
源站学科分类：Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Chemical Sciences not elsewhere classified、Sociology、Biological Sciences not elsewhere classified。主题标签：No-early-detection、Overdiagnosis、Sensitivity、Sojourn time、Symptom-free-life、True-early-detection。
【适用方向】
源站学科分类标注为 Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Chemical Sciences not elsewhere classified、Sociology、Biological Sciences not elsewhere classified。
【获取与许可】
源站页面：https://tandf.figshare.com/articles/dataset/Inference_of_Long_Term_Screening_Outcomes_for_Individuals_with_Screening_Histories/5878663
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Inference of Long-Term Screening Outcomes for Individuals with Screening Histories. Taylor & Francis. Wu, Dongfeng; Kafadar, Karen; N. Rai, Shesh
【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
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使用方式
数据集获取（Figshare）
- 源站标题：Inference of Long-Term Screening Outcomes for Individuals with Screening Histories
- DOI：10.6084/m9.figshare.5878663.v2
- 发布日期：2018-04-09
- 文件数：2 个
- 文件总体积：119.11 KB
- 源站页面：https://tandf.figshare.com/articles/dataset/Inference_of_Long_Term_Screening_Outcomes_for_Individuals_with_Screening_Histories/5878663
命令行下载
curl -L -o "SPP-suppl.tex" "https://ndownloader.figshare.com/files/10454497"
curl -L -o "SPP-supplement.pdf" "https://ndownloader.figshare.com/files/10454500"
文件清单
SPP-suppl.tex（5.02 KB）SPP-supplement.pdf（114.10 KB）
文件总体积 119.11 KB（源站 API 实测）。
数据说明
We develop a probability model for evaluating long-term outcomes due to regular screening that incorporates the effects of prior screening examinations. Previous models assume that individuals have no prior screening examinations at their current ages. Due to current widespread medical emphasis on screening, the consideration of screening histories is essential, particularly in assessing the benefit of future screening examinations given a certain number of previous negative screens. Screening participants are categorized into four mutually exclusive groups: symptom-free-life, no-early-detection, true-early-detection, and overdiagnosis. For each case, we develop models that incorporate a person’s current age, screening history, expected future screening frequency, screening test sensitivity, and other factors, and derive the probabilities of occurrence for the four groups. The probability of overdiagnosis among screen-detected cases is derived and estimated. The model applies to screening for any disease or condition; for concreteness, we focus on female breast cancer and use data from the study conducted by the Health Insurance Plan of Greater New York (HIP) to estimate these probabilities and corresponding credible intervals. The model can provide policy makers with important information regarding ranges of expected lives saved and percentages of true-early-detection and overdiagnosis among the screen-detected cases.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.5878663.v2（source: https://tandf.figshare.com/articles/dataset/Inference_of_Long_Term_Screening_Outcomes_for_Individuals_with_Screening_Histories/5878663）。
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