Partial Least Squares Regression Trees for Multivariate Response Data With Multicollinear Predictors
Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
Model making is a great hobby, but knowing how and where to start is another story. It can be overwhelming for novices: Injection-molded plastic models have been on the market for close to a century, ...
ABSTRACT: This study investigates the persistent academic impacts of the Head Start program, a federal government-funded early childhood intervention, using data from the Early Childhood Longitudinal ...
Purpose: This study aims to create and validate a clinical prediction model to determine the optimal gonadotropin (Gn) starting dose in controlled ovarian stimulation (COS) protocols for normal ...
Abstract: In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to ...
Background: Migraine is a primary headache disorder that affects more than 1 billion individuals globally and imposes a significant disability burden on society. Although migraine patients commonly ...
Models Valentina Sampaio and Alex Consani strutted down the runway at the Victoria’s Secret Fashion Show in New York City on Tuesday, becoming the first transgender women to walk in the iconic fashion ...
Artificial intelligence (AI) prophets and newsmongers are forecasting the end of the generative AI hype, with talk of an impending catastrophic “model collapse”. But how realistic are these ...
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