The market underappreciates TENX's late-stage pipeline and risk-adjusted asset value; we recommend buying ahead of Phase 3 ...

Abstract: Estimation of classification evaluation metrics for small sample classification data is one of the most challenging task in Machine Learning model building process. The value of an ...

Accurate sample size estimation is a cornerstone of successful Institutional Review Board (IRB) proposals, as it establishes the feasibility of clinical studies and ensures they are sufficiently ...

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China ...

SimTOST is an R package specifically designed for bioequivalence studies, providing simulation-based sample size estimation for the Two One-Sided Tests (TOST) procedure. It offers flexible options to ...

Introduction: Machine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk score (DRS) estimation ...

This valuable work presents the latest version of CTFFIND, which is the most popular software for determination of the contrast transfer function (CTF) in cryo-electron microscopy. CTFFIND5 estimates ...

This paper describes a new complexity estimator for time series based on state-space modeling, which can directly decompose signal entropy in both time and frequency. The authors compare their ...