随机研究偏倚评估数据集
包含随机对照研究的偏倚评估结果,基于Cochrane工具评估宫颈癌筛查随访干预措施。

基本信息
资源简介
随机研究偏倚评估数据集
【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 5.63 KB,主题涵盖 summary average effect、e ., days、e ., attending、also provide recommendations、46 ), compared,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《Bias assessment for randomized studies.》。源站首次发布:2024-02-21。
【数据内容】
源站原始描述:Introduction Ensuring timely follow-up of abnormal screening results is essential for eliminating cervical cancer. Objective The purpose of the study was to review single and multicomponent interventions designed to improve follow-up of women with abnormal cervical cancer screening results. We report on effectiveness across studies, and describe what aspects of these interventions might be more impactful. Methods Publications were searched between January 2000 and December 2022. The search inclu…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 5.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0291931.t005。
【主题与分类】
源站学科分类:Medicine、Cell Biology、Biotechnology、Environmental Sciences not elsewhere classified、Cancer、Science Policy。主题标签:summary average effect、e ., days、e ., attending、also provide recommendations、46 ), compared、36 &# 8211、03 &# 8211、using forest plots、systematic literature review、14 &# 8211。
【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/Bias_assessment_for_randomized_studies_/25261412
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Varon, Melissa Lopez; Geng, Yimin; Fellman, Bryan M.; Troisi, Catherine; Fernandez, Maria E.; Li, Ruosha; et al. (2024). Bias assessment for randomized studies.. PLOS ONE. Dataset
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。
暂未开放公开下载
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:Bias assessment for randomized studies.
- DOI:10.1371/journal.pone.0291931.t005
- 发布日期:2024-02-21
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Bias_assessment_for_randomized_studies_/25261412
命令行下载
curl -L -o "Table 5.xls" "https://ndownloader.figshare.com/files/44627147"
文件清单
Table 5.xls(5.63 KB)
文件总体积 5.63 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
Introduction
Ensuring timely follow-up of abnormal screening results is essential for eliminating cervical cancer.
Objective
The purpose of the study was to review single and multicomponent interventions designed to improve follow-up of women with abnormal cervical cancer screening results. We report on effectiveness across studies, and describe what aspects of these interventions might be more impactful.
Methods
Publications were searched between January 2000 and December 2022. The search included observational, quasi-experimental (pre-post studies) and randomized controlled studies describing at least one intervention to increase follow-up of women with abnormal cervical cancer screening results. Outcomes of studies included completion of any follow-up (i.e., attending a follow-up appointment), timely diagnosis (i.e., colposcopy results within 90 days of screening) and time to diagnostic resolution (i.e., days between screening and final diagnosis). We assessed risk of bias for observational and quasi-experimental studies using the Newcastle-Ottawa Scale (NOS) tool and the Cochrane collaboration tool for randomized studies. We conducted a meta-analysis using studies where data were provided to estimate a summary average effect of the interventions on follow-up of patients and to identify characteristics of studies associated with an increased effectiveness of interventions. We extracted the comparison and intervention proportions of women with follow-up before and after the intervention (control and intervention) and plotted the odds ratios (ORs) of completing follow-up along with the 95% confidence intervals (CIs) using forest plots for the interventions vs. controls when data were available.
Findings
From 7,457 identified studies, 28 met the inclusion criteria. Eleven (39%) of the included studies had used a randomized design. Most studies (63%) assessed completion of any follow-up visit as the primary outcome, whereas others measured time to definite diagnosis (15%) or diagnostic resolution (22%). Navigation was used as a type of intervention in 63% of the included studies. Most interventions utilized behavioral approaches to improve outcomes. The overall e
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0291931.t005(source: https://plos.figshare.com/articles/dataset/Bias_assessment_for_randomized_studies_/25261412)。
数据缺失?
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