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Updated: Jun 18, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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严重登革热预测模型的比较:物流回归,分类树和结构方程模型

Hyelan Lee1,2, Anon Srikiatkhachorn3,4, Siripen Kalayanarooj5

  • 1Graduate School of Urban Public Health, University of Seoul, Republic of Korea.

The Journal of infectious diseases
|July 30, 2024
PubMed
概括

结构方程模型 (SEM) 显示了与物流回归和分类树的可比预测性能,用于识别严重的登革热病. 这一发现有助于早期发现和管理严重登革热病例.

关键词:
这是分类树的分类树.逻辑回归的逻辑回归方法预测模型是一个预测模型.预测有效性 预测有效性严重的登革热.结构方程模型的结构方程模型.

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