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This application of latent class analysis has received considerable attention in the context of primary (individual) diagnostic accuracy studies, but its use in meta-analysis is rare [27]. In this paper we propose using a latent class approach for a different purpose. More specifically, we use ...
The basic information of the studies included in our meta-analysis.Li, ZhaoBei, LiKe, DianBinwu, YingXiaojun, LuXuejiao, HuQi, AnChunxia, ChenChunyan, HuangBin, Tan
In this study, we addressed this challenge by performing a comprehensive meta-analysis to identify human gut metabolites that can be predicted based on the composition of the gut microbiome across multiple studies. We term such metabolites “robustly well-predicted”. To this end, we processed data...
and a northern and southern MDB. The Basin is home to 2.8 million people, and contains the majority of Australia’s irrigated land (ABS, 2017). It is also an area of great cultural, tourism and environmental significance that depends critically on sustainable levels of water within its rivers...
Because no one had published a reasonable translation of the BMGEN ideas into Enterprise Architecture. Similarly, when reviewing the VDML (Value Delivery Modeling Language) metamodel that is being proposed within the Object Management Group as an approach to business modeling, there is no good co...
Finally, we performed subgroup analysis using two methods, namely, AUC method and h value. While we found significant difference in PD between the IGD group and healthy controls by using h value, the difference between the two groups was not significant with the AUC approach. The findings sugge...
intrinsic time and space constructed by the brain, enabling us to study the consciousness-relevant features of the resulting spatiotemporal landscape4,45,46. The present approach is also related to theoretical concepts of the cause-effect repertoire of information integration theory (defined as the ...
The G-Factor(What Is General Intelligence (G Factor)?) General intelligence, also known as g factor, refers to the existence of a broad mental capacity that influences performance on cognitive ability measures. Factor analysis: a statistical procedure that identifies clusters of related items (calle...
A total of three machine learning algorithms—including DT, NB, and NN, as well as a combination of all three approaches known as a hybrid classifier—were applied. Moreover, the MAE and RMSE methodologies were used to assess the performance of the approach, and the MAE results showed that...