The purpose of this paper is to examine the properties of various tests of linear and logarithmic (or log-linear) regression models. The test procedures may be categorized as follows: (i) tests that ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

In this regression analysis, latent classes will be treated as independent variables, while QoR-15 and satisfaction scores will serve as dependent variables. If trajectory and correlation analyses ...

Echefu, C. and Stone, R. (2025) Relationship between Alcohol Use and Obesity in US Adults Aged 20 to 79. Open Journal of ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

Namagwa, S. (2025) Enhancing Efficiency of Pension Schemes through Effective Risk Governance: A Kenyan Perspective. Journal ...

Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...

Thomas J Catalano is a CFP and Registered Investment Adviser with the state of South Carolina, where he launched his own financial advisory firm in 2018. Thomas' experience gives him expertise in a ...

IIT JAM Mathematical Statistics Syllabus 2026: The IIT JAM Mathematical Statistics (MS) syllabus is a crucial resource for any student aiming to appear for the IIT JAM 2026 examination. The syllabus ...

The Long Term Growth Model (LTGM) is an Excel-based tool to analyze long-term growth scenarios building on the celebrated Solow-Swan Growth Model. The tool can also be used to assess the implications ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...