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Updated: Jul 16, 2025

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

Published on: July 3, 2020

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调查城市和城市农村边缘地区之间的伤害严重程度相互作用:一个分组随机参数看似无关的双变量探针方法

Daiquan Xiao1, Quan Yuan2,3, Xuecai Xu1

  • 1School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China.

International journal of injury control and safety promotion
|September 13, 2023
PubMed
概括

通过了解伤害严重程度的相互作用,可以提高城市和边缘地区的道路安全. 一个新的模型揭示了影响事故结果的关键因素,有助于针对性安全干预.

关键词:
城市农村边缘区域的边缘区域相关性 相关性 相关性分组的随机参数看似不相关的二变量探头模型.不同质性的异质性伤害严重程度 伤害严重程度

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The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
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The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
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