Results 11 to 20 of about 309,621 (292)
Conditional Versus Unconditional Covariate Effects in Pharmacometric Models: Implications for Interpretation, Communication, and Reporting [PDF]
CPT: Pharmacometrics & Systems PharmacologyThis work investigates how correlations between covariates influence the estimation of their effects in pharmacometric models. The focus is on quantifying the impact on conditional and unconditional covariate effect estimates and assessing the ...
E. Niclas Jonsson +3 more
doaj +2 more sources
Cluster minimal sufficient balance (CMSB): an efficient covariate balancing randomization method for cluster randomized trials. [PDF]
BMC Med Res MethodolCai J +9 more
europepmc +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Femtosecond covariance spectroscopy [PDF]
Proceedings of the National Academy of Sciences, 2019 Significance Here we establish femtosecond covariance spectroscopy as a technique that uses ultrashort stochastic light pulses to measure nonlinear material responses. By using pulses with spectrally uncorrelated fluctuations we can leverage on the noise and consider each repetition of the experiment as a measurement under different ...
TOLLERUD, JONATHAN OWEN +11 more
openaire +6 more sources