Results 1 to 10 of about 550,309 (325)
Frontiers in Pharmacology, 2022 Background and Aim: Many studies associated with the combination of machine learning (ML) and pharmacometrics have appeared in recent years. ML can be used as an initial step for fast screening of covariates in population pharmacokinetic (popPK) models ...
Xiuqing Zhu +7 more
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Causal mediation effect analysis based on different variable stratification
Sichuan jingshen weisheng, 2022 The purpose of this paper was to introduce the setting method of the three types of variable levels in the causal mediation effect analysis and the implementing calculation method under the condition of stratification by using SAS.
Hu Chunyan, Hu Liangping
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The Problem of Fairness in Synthetic Healthcare Data
Entropy, 2021 Access to healthcare data such as electronic health records (EHR) is often restricted by laws established to protect patient privacy. These restrictions hinder the reproducibility of existing results based on private healthcare data and also limit new ...
Karan Bhanot +4 more
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Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping
Remote Sensing, 2023 Robust soil organic matter (SOM) mapping is required by farms, but their generation requires a large number of samples to be chemically analyzed, which is cost prohibitive. Recently, research has shown that visible and near-infrared (vis-NIR) reflectance
Meihua Yang +4 more
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Journal of Physics A: Mathematical and General, 2001 latex with ams-latex, 23 ...
Naudts, Jan, Kuna, Maciej
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Covariance-on-Covariance Regression
, 2022 A Covariance-on-Covariance regression model is introduced in this manuscript. It is assumed that there exists (at least) a pair of linear projections on outcome covariance matrices and predictor covariance matrices such that a log-linear model links the variances in the projection spaces, as well as additional covariates of interest.
Zhao, Yi, Zhao, Yize
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Methodology, 2023 Factor mixture modeling (FMM) has been widely adopted in health and behavioral sciences to examine unobserved population heterogeneity. Covariates are often included in FMM as predictors of the latent class membership via multinomial logistic regression ...
Yan Wang, Tonghui Xu, Jiabin Shen
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Covariance of Covariance Features for Image Classification [PDF]
Proceedings of International Conference on Multimedia Retrieval, 2014 In this paper we propose a novel image descriptor built by computing the covariance of pixel level features on densely sampled patches and encoding them using their covariance. Appropriate projections to the Euclidean space and feature normalizations are employed in order to provide a strong descriptor usable with linear classifiers. In order to remove
SERRA, GIUSEPPE +3 more
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Characterizing Enterotypes in Human Metagenomics: A Viral Perspective
Frontiers in Microbiology, 2021 The diversity and high genomic mutation rates of viral species hinder our understanding of viruses and their contributions to human health. Viral enterotypes as a description of the gut virome, its characteristics have not been thoroughly studied.
Li Song, Lu Zhang, Xiaodong Fang
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Zhongguo cuzhong zazhi, 2022 真实世界研究由于其研究结果更贴近真实世界，在临床研究领域逐渐受到关注和重视。真实世界研究不是并列于观察性研究和试验性研究的某种特定的研究设计类型，在真实世界研究的数据分析中更需要关注混杂因素和协变量的控制。正确识别混杂因素和协变量以及合理应用统计方法对其进行控制，可有效提高研究结论的准确性和真实性。本文介绍了真实世界研究中混杂因素和协变量控制的常见方法，包括分层分析、协方差分析、多因素回归、倾向性评分、疾病风险评分和工具变量分析等，并结合脑血管病的临床研究应用实例展开分析 ...
冯玉婷1 ，刘芷含1 ，柴倩云1 ，罗慜婧1 ，高一城1 ，陶立元2，3，费宇彤1
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