A general additive-multiplicative rates model for recurrent event data

Jiajia, Dai; Sun, Liuquan; Yang, Zhen

doi:10.1007/s11425-009-0095-6

Cited by 12 publications

(4 citation statements)

References 19 publications

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“…The generalized additive model (GAM) is a non-parametric method of local regression that explores the relationships between variables [23]. In this experiment, two generalized additive models were constructed.…”

Section: Generalized Additive Modelmentioning

confidence: 99%

Effects of crop species richness on pest-natural enemy systems based on an experimental model system using a microlandscape

Zhao

Shi

Men

et al. 2013

Sci. China Life Sci.

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The relationship between crop richness and predator-prey interactions as they relate to pest-natural enemy systems is a very important topic in ecology and greatly affects biological control services. The effects of crop arrangement on predator-prey interactions have received much attention as the basis for pest population management. To explore the internal mechanisms and factors driving the relationship between crop richness and pest population management, we designed an experimental model system of a microlandscape that included 50 plots and five treatments. Each treatment had 10 repetitions in each year from 2007 to 2010. The results showed that the biomass of pests and their natural enemies increased with increasing crop biomass and decreased with decreasing crop biomass; however, the effects of plant biomass on the pest and natural enemy biomass were not significant. The relationship between adjacent trophic levels was significant (such as pests and their natural enemies or crops and pests), whereas non-adjacent trophic levels (crops and natural enemies) did not significantly interact with each other. The ratio of natural enemy/pest biomass was the highest in the areas of four crop species that had the best biological control service. Having either low or high crop species richness did not enhance the pest population management service and lead to loss of biological control. Although the resource concentration hypothesis was not well supported by our results, high crop species richness could suppress the pest population, indicating that crop species richness could enhance biological control services. These results could be applied in habitat management aimed at biological control, provide the theoretical basis for agricultural landscape design, and also suggest new methods for integrated pest management.

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Section: Generalized Additive Modelmentioning

confidence: 99%

Effects of crop species richness on pest-natural enemy systems based on an experimental model system using a microlandscape

Zhao

Shi

Men

et al. 2013

Sci. China Life Sci.

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show abstract

“…Generally, there are two modeling methods: one is modeling for intensity function for the process [1]. The other is modeling for rate function (mean function), such as Lin et al [2], Dai et al [3]. The recurrent event is often precluded by a terminal event such as death.…”

Section: Short Communicationmentioning

confidence: 99%

The Model and the Inference for the Clustered Recurrent Event

Yuan¹

2018

BBOAJ

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“…(3) 广义可加模型(generalized additive model). 广义可加模型是近几年国际流行的统计分析方法, 是一种典型的非参数模型, 采用局域回归的理论方法, 能够最大程度地挖掘变量之间的相互关系 [23] . 本研究采用 2 个广义可加模型, 第一个模型为取样时间、害虫生物量及植物生物量对天敌生物量的影响 (方程 1):…”

Section: 分析方法unclassified