Akaike Information Criterion Statistics

Brooks, Daniel G.

doi:10.1080/00401706.1989.10488538

Cited by 15 publications

(9 citation statements)

References 4 publications

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“…The data of the response variable MTL was the square root transformed to Gaussian distribution. Model selection was performed by ranking the candidate models based on their Akaike information criterion (AIC) and selecting the model that minimizes AIC as the best supported model [40,41]. All the statistical analyses were performed in R for Windows (R Foundation for Statistical Computing, Vienna, Austria) [38].…”

Section: Discussionmentioning

confidence: 99%

Distribution and Trophic Pattern of Non-Native Fish Species Across the Liao River Basin in China

Zhao

Wang

et al. 2019

Water

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Controlling the invasion of non-native fish species necessitates a complete understanding of the distribution of these species and the key factors that influence such distribution. In order to research the situation of non-native fish and the relevant influencing factors in the Liao River Basin, we investigated and analyzed the characteristics of the distribution and the trophic levels of non-native fish species, as well their response to different types of factors in the basin. Nine non-native fish species were found during the investigation, and the trophic levels of these species ranged between 2.00 and 3.84. The results of generalized linear models indicate that the distribution of non-native fish species in the basin is mainly related to anthropogenic activities, socioeconomic development, and climate. The southeastern part of the Liao River Basin is conducive to the distribution of non-native fish species. Furthermore, on a spatial scale, we also found that the mean trophic level of non-native fish species was not correlated with anthropogenic activities and socioeconomic development in the Liao River Basin. By providing evidence for the links between non-native fishes and different types of factors, our study contributes to increasing the relevant references for and experiences in the early detection and management of non-native fishes on a basin scale.

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Section: Discussionmentioning

confidence: 99%

Distribution and Trophic Pattern of Non-Native Fish Species Across the Liao River Basin in China

Zhao

Wang

et al. 2019

Water

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“…Automated model selection analysis was performed using the glmulti function from the R package [20]. The optimal model was the one with minimum Akaike's Information Criterion (AIC) [21]. We performed power analysis using simulations [22].…”

Section: Discussionmentioning

confidence: 99%

Antibiotic-associated diarrhoea in emergency department observation unit patients

Haran

Bucci

et al. 2016

Epidemiol. Infect.

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Clostridium difficile diarrhoea is an urgent threat to patients, but little is known about the role of antibiotic administration that starts in emergency department observation units (EDOUs). We studied risk factors for antibiotic-associated diarrhoea (AAD) and C. difficile infection (CDI) in EDOU patients. This prospective cohort study enrolled adult patients discharged after EDOU antibiotic treatment between January 2013 and 2014. We obtained medical histories, EDOU treatment and occurrence of AAD and CDI over 28 days after discharge. We enrolled and followed 275 patients treated with antibiotics in the EDOU. We found that 52 (18·6%) developed AAD and four (1·5%) had CDI. Patients treated with vancomycin [relative risk (RR) 0·52, 95% confidence interval (CI) 0·3-0·9] were less likely to develop AAD. History of developing diarrhoea with antibiotics (RR 3·11, 95% CI 1·92-5·03) and currently failing antibiotics (RR 1·90, 95% CI 1·14-3·16) were also predictors of AAD. Patients with CDI were likely to be treated with clindamycin. In conclusion, AAD occurred in almost 20% of EDOU patients with risk factors including a previous history of diarrhoea with antibiotics and prior antibiotic therapy, while the risk of AAD was lower in patients receiving treatment regimens utilizing intravenous vancomycin.

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“…In particular, the use of "Two Step Cluster Analysis" was preferred, in which the measure of distance adopted to identify the groups is the Log-likelihood [34]. Moreover, the Akaike Information Criterion (AIC) [35], an automatic algorithm, was used for the extraction of the clusters. The AIC measures the deviation of our model by the probability distribution f compared to the "true" distribution g. The mathematical formulation of the criterion is the following:…”

Section: Methodsmentioning

confidence: 99%

Geographical Indication to Build up Resilient Rural Economies: A Case Study from Ghana

et al. 2020

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This paper deals with Geographical Indications (GI) as a critical strategy aimed to boost agri-food local supply chain and rural development. The main concern of this work, therefore, is to verify how the identification of these products and establishment of GI systems can propel sustainable development in local areas in Africa. Two assumptions are at the basis of our paper: viable GI systems can be established in Africa, and the establishment of a GI system can stimulate rural development. In order to clarify the process of GI setting up and valorization, we will test GI virtuous circle and the rural web, with the purpose of exploring the multiple dimensions (endogeneity, social capital, sustainability, novelty, institutional arrangements, governance of markets) interfering in the process at both the agri-food supply chain and rural context levels of analysis. The analysis is applied to the shea butter production in Ghana and will employ primary data. Questionnaires and interviews were administered in the study area (Yendi Municipality of Ghana) to gather both qualitative and quantitative data. Our analysis confirms the potentialities of the shea butter as GI, by underlying its engine for the development of local rural communities.

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Akaike Information Criterion Statistics

Cited by 15 publications

References 4 publications

Distribution and Trophic Pattern of Non-Native Fish Species Across the Liao River Basin in China

Distribution and Trophic Pattern of Non-Native Fish Species Across the Liao River Basin in China

Antibiotic-associated diarrhoea in emergency department observation unit patients

Geographical Indication to Build up Resilient Rural Economies: A Case Study from Ghana

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