可能影响RE的观察指标(自变量)共280个。

Possible affective RE of observation target (independent variable) accounted for 280 items.

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最后，以这些气候指标为自变量，建立了用于该区草地蝗虫发生预测的气候学模型。

Finally, a Logistic regression model to describe the susceptibility to grasshopper outbreak in the study area was developed using the climatic norms as the variables.

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以功效性、安全性和经济学指标作为因变量，以患者其他相关因素作为自变量，进行两组间比较和分析。

Comparison and analysis were conducted in two groups with effect, safety and economic parameters as dependent variables and the other related factors of patients as independent variables.

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