Beyond Belief' explains how the "evidence revolution" is helping practitioners, policymakers, and the public understand what ...
A research team led by Dr. Sun Xin (å™é‘«) and Prof. Tan Jing (è°å©§) from the Clinical Epidemiology and Evidence-based Medicine Center, West China Hospital, Sichuan University, recently published an ...
Network meta-analysis (NMA) is an increasingly popular statistical method of synthesising evidence to assess the comparative benefits and harms of multiple treatments in a single analysis. Several ...
The parasite paradox arises from the dual observations that parasites (broadly construed, including phytophagous insects) are resource specialists with restricted host ranges, and yet shifts onto ...
We propose a new framework that addresses endogenous regressors using a novel conditional copula endogeneity model to capture the regressor-error dependence ...
Every day, we are faced with countless claims and persuasive messages. Most of those messages are trying to sell us something: Our toothbrush cleans better than others do, this new app reduces stress, ...
Abstract: Deep neural networks (DNNs), which learn a hierarchical representation of features, have shown remarkable performance in big data analytics of remote sensing. However, previous research ...
.vcf formatted SNPs. table of latitude and longitude coordinates for each sample. computing cluster for running simulations in parallel. GPU, probably with >10Gb RAM, for training. The mapNN program ...
Causal inference is of central interest in many empirical applications, yet often challenging because of the presence of endogenous regressors. The classical approach to the problem requires using ...
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