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Bivariate correlation matrix of manifest variables indicating latent variables.

NIAID Data Ecosystem2026-05-01 收录

潜变量建模

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2023-05-12

复杂系统结构聚类

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Biological, ecological, social, and technological systems are complex structures with multiple interacting parts, often represented by networks. Correlation matrices describing interdependency of the

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Factor loadings for the “Positive” and “Negative” latent factors of the CES-D and influence on the overall estimates of fatigue latent factor scores.

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潜变量建模

aNot corrected for DIF.bbCorrected for DIF for items 3, 10, and 11.CI = Confidence Interval.

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Learning causal networks with latent variables from multivariate information in genomic data

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Learning causal networks from large-scale genomic data remains challenging in absence of time series or controlled perturbation experiments. We report an information- theoretic method which learns a l

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Precluding Interpretational Confounding in Factor Analysis with a Covariate or Outcome via Measurement and Uncertainty Preserving Parametric Modeling

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In latent variable models, interpretational confounding occurs when the inclusion of a covariate or outcome when fitting the model alters the results for the measurement model. Commonly used estimatio

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Latent variable modeling for integrating output from multiple climate models

气候模型集合

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Numerical models of atmosphere - ocean circulation are widely used to understand past climate and to project future climate change. Although the same laws of physics, chemistry,...

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Bivariate correlation matrix of manifest variables indicating latent variables.

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