This lecture series focuses on advanced methods in genome-wide association studies (GWAS) and statistical genetics, with an emphasis on analyzing and modeling complex traits using summary-level ...

Richard Goldfarb ’81 M.S. (geohydrology) has a few stories that he said probably shouldn’t be told about the hijinks he got ...

Retrofitting legacy bioprocessing equipment with modern PAT tools requires targeted sensor, software, and change-control ...

The multifactor logistic regression analysis indicated that a history of diabetes, low preoperative albumin, and ...

Abstract: Wind energy is one of the most promising resources for the mitigation of greenhouse gas emissions that contribute to anthropogenic global warming. However, the large proliferation of wind ...

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...

Yet another Federal Reserve official has warned that the central bank may need to move to raise interest rates to combat rising inflation before it becomes entrenched. In remarks at the University of ...

Introduction Psychotic disorders account for significant morbidity and healthcare costs and yet their pathophysiology remains poorly understood. The National Institute for Health and Care Research ...

Applied statistics : from bivariate through multivariate techniques by Warner, Rebecca M Publication date 2008 Topics ...

Authors Table of Contents Media Contact For general and media inquiries and to book our experts, please contact: ...

The application of advanced statistical methods in infectious diseases has never been more pertinent than during the recent COVID-19 pandemic. Traditional ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...