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Multiple Indicators, Multiple Causes Measurement Error Models
Multiple Indicators, Multiple Causes Models (MIMIC) are often employed by researchers studying the effects of an unobservable latent variable on a set of outcomes, when causes of the latent variable are observed. There are times however when the causes of the latent variable are not observed because...
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| Main Authors: | , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4184955/ https://ncbi.nlm.nih.gov/pubmed/24962535 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.6243 |
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