Liang Hu, Yuanyuan Pei, Xiaojin Luo, Lijuan Wen, Hui Xiao, Jinxing Liu, Liping Wu, Gaochi Li, Fengxiang Wei, A multivariate modeling method for the prediction of low fetal fraction before noninvasive ...

We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...

We analyzed the scores from five domains on the FACT-B questionnaire (physical, functional, social, and emotional wellbeing and breast cancer-related concerns) using the multivariate hidden Markov ...

A research team has developed a new artificial intelligence (AI) model that harnesses unmanned aerial vehicle (UAV) data to ...

Clinical characteristics, univariate, and multivariate Cox model analysis of long-term (> 3 years) survivors of stage IV metastatic breast cancer treated on phase II or III North Central Cancer ...

His research interests include multivariate statistical process monitoring, multivariate modeling, and interdisciplinary applications. His previous research focused on applications to pilot water ...

Summary: A new AI framework can detect neurological disorders by analyzing speech with over 90% accuracy. The model, called CTCAIT, captures subtle patterns in voice that may indicate early symptoms ...

Then, logistic regression modeled disease status as a function of each marker for different timepoints and multivariate modeling was performed via logistic LASSO regression.