当前位置: X-MOL 学术Epidemiology › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Pseudo-Random Number Generator Influences on Average Treatment Effect Estimates Obtained with Machine Learning.
Epidemiology ( IF 4.7 ) Pub Date : 2024-08-16 , DOI: 10.1097/ede.0000000000001785
Ashley I Naimi 1 , Ya-Hui Yu 1 , Lisa M Bodnar 2
Affiliation  

Use of machine learning to estimate exposure effects introduces a dependence between the results of an empirical study and the value of the seed used to fix the pseudo-random number generator.

中文翻译:


伪随机数生成器对通过机器学习获得的平均治疗效果估计的影响。



使用机器学习来估计暴露效应会引入实证研究结果与用于修复伪随机数生成器的种子值之间的依赖性。
更新日期:2024-08-16
down
wechat
bug