相关实验视频
Updated: Jul 1, 2025
09:36
Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
27.1K
对于胎儿宏观体的多变量预测模型和对于妊娠年龄的大:系统性审查
Lauren Ewington1,2, Naomi Black1,2, Charlotte Leeson1,2
1Division of Biomedical Sciences, University of Warwick, Coventry, UK.
概括
目前没有针对妊娠年龄大 (LGA) 或宏观体的预测模型为临床使用准备好. 需要进一步的研究来开发和验证这些妊娠并发症的可靠预测工具.
科学领域:
- 围产儿医学 围产儿医学
- 生物统计学 生物统计学
- 临床流行病学 临床流行病学
背景情况:
- 准确识别大对妊娠年龄 (LGA) 和宏观胎儿对于有效的怀孕管理和咨询至关重要.
- 现有的预测模型需要严格评估临床适用性.
研究的目的:
- 系统地审查和评估LGA和宏观的多变量预测模型.
- 评估已识别的模型的性能,质量和临床适用性.
主要方法:
- 在 MEDLINE,EMBASE 和 Cochrane 图书馆进行系统的文献搜索,截至 2022 年 6 月.
- 包括观察和实验研究开发或验证多变量预测模型.
- 对模型性能 (歧视,校准),报告质量 (TRIPOD),偏差风险和适用性 (PROBAST) 的评估.
主要成果:
- 包含了58项研究,开发了111个LGA/macrosomia的多变量模型.
- 模型歧视差异很大 (AUROC 0.56-0.96);校准报告只有19%.
- 只有8.6%的研究具有低偏差风险,很少有模型经过外部验证.
结论:
- 目前没有多变量预测模型对宏观症或LGA满足临床实施的标准.
- 在模型验证,报告质量和偏见风险评估方面存在重大差距.
- 在临床采用胎儿生长异常预测模型之前,需要进一步开发和严格验证.
相关概念视频
01:25Multiple Regression
3.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.0K
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
40
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
40