Scientists in the life science field have long been seeking genetic variants associated with complex diseases(or traits)to advance our understanding of complex genetic disorders and to provide effecti
A spline growth model and its multivariate version are presented.The talk focuses on estimation and hypothesis testing.The introduced methods are based on penalized log likelihood and on a spline appr
The genetic diversity of HIV and malaria(P.falciparum)constitutes one of the most formidable barriers to developing highly efficacious vaccines to prevent disease caused by these pathogens.
Through quantitative analysis of four ports and their host cities,this study asserts that Shanghai and Ningbo ports in the Yangtze River Delta region,and Shenzhen and Hong Kong ports in the Pearl Rive
Symbolic data have become increasingly popular in the era of big data.In this paper,we consider density estimation and regression for interval-type data,a special case of symbolic data,common in clima
Nature-inspired meta-heuristic algorithms are increasingly studied and used in computer science and engineering disciplines to solve high-dimensional complex optimization problems in the real world.
The work is motivated by a medical study on peritonitis in Taiwan,where patients on peritoneal dialysis might experience two types of peritonitis(Gram-positive or non-Gram-positive),each of which coul
Objective: To assess the efficacy and safety of the new oral anticoagulants vs.warfarin in patients with atrial fibrillation by the meta-analyses performed for 5 studies ARISTOTLE,ENGAGE AF-TIMI 48,RE