用于推导相对重要性评分（RIS）的权重
包含用于推导他汀类药物决策中RIS权重的多方法计算数据，涉及冠心病风险权衡。
基本信息
资源简介
用于推导相对重要性评分（RIS）的权重
【数据集背景】
本数据集源站标题为《Weighting used to derive the relative importance scores (RIS)》。源站首次发布：2008-11-24。
【数据内容】
源站原始描述：*VAS = visual analogue scale; CRS = category rating scale; RIS = relative importance score. RISEU weights were based on an approximation of participants'' expected utility (EU) for a decision (the expected utility of taking statins minus the expected utility of not taking statins using the probabilities shown in the table). RISPCA weights were based on principle component analysis (PCA). RISLR weights were based on logistic regression (LR). RISONE weights were equal weights (ONE). For RISEU, the…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table_1.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0003693.t001。
【主题与分类】
源站学科分类：Computational Biology、Medicine。主题标签：scores。
【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/_Weighting_used_to_derive_the_relative_importance_scores_RIS_/586637
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Carling, Cheryl; Tove Kristoffersen, Doris; Herrin, Jeph; Treweek, Shaun; D. Oxman, Andrew; Schünemann, Holger; et al. (2015). Weighting used to derive the relative importance scores (RIS). PLOS ONE. Dataset
【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：Weighting used to derive the relative importance scores (RIS)
- DOI：10.1371/journal.pone.0003693.t001
- 发布日期：2008-11-24
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/_Weighting_used_to_derive_the_relative_importance_scores_RIS_/586637
命令行下载
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/916187"
文件清单
Table_1.xls（5.63 KB）
文件总体积 5.63 KB（源站 API 实测）。
数据说明
*VAS = visual analogue scale; CRS = category rating scale; RIS = relative importance score. RISEU weights were based on an approximation of participants’’ expected utility (EU) for a decision (the expected utility of taking statins minus the expected utility of not taking statins using the probabilities shown in the table).
RISPCA weights were based on principle component analysis (PCA).
RISLR weights were based on logistic regression (LR).
RISONE weights were equal weights (ONE).
For RISEU, the estimate of the expected utility (EU) of taking statins was subtracted from the estimate of the expected utility of not taking statins.
For RISPCA, RISLR, and RISONE the undesirable consequences (Pills and Cost) were subtracted from the desirable consequences (reduced risk of CHD).
The formulae used to calculate the weights used for each of the four approaches to weighting (RISEU, RISPCA, RISLR, and RISONE) can be found in Appendix S1.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0003693.t001（source: https://plos.figshare.com/articles/dataset/_Weighting_used_to_derive_the_relative_importance_scores_RIS_/586637）。
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