Statistical analysis used independent samples T-tests for comparing groups, with significance established at p<0.05. ORs were calculated for subgroup using binary logistic regression analysis of ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

On the path to becoming a more data-centric organization, Army Materiel Command is leaning into advanced analytics and ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

Ordinal logistic regression. Alternatively, ordinal logistic regression can be used. It comes in several versions (2), and the one most frequently used is called 'proportional odds logistic regression ...

This project is a comprehensive case study demonstrating the power and capabilities of Logistic Regression for a classic Natural Language Processing task: SMS spam classification. The primary ...

A total of 180422 candidates appeared in both papers 1 and 2 in JEE (Advanced) 2025, of which 54,378 candidates have qualified. These include 9404 female candidates and 44,974 male candidates.

In 2021, the minimum cutoff remained at 17.5 percent, and in 2022, it further declined to 15.28 percent. However, it rebounded to 23.89 percent in 2023 and rose to 30.28 percent in 2024.

You also need to take advanced Mathematics and Statistics units if you did introductory Mathematics and Statistics in Year 1. Joint pathway If you specialise on a joint pathway, you take a maximum of ...

I modelled the early evolution of COVID-19 as a logistic function with 6 parameters: where σ(x,θ) represents the number of positive cases at x-th day after the 24th of February. I exploited BFGS ...

Abstract: Joint moments involving arbitrary powers of order statistics are the main concern. Consider order statistics u/sub 1/ /spl les/ u/sub 2/ /spl les/ /spl middot//spl middot//spl middot/ /spl ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. ... Logistic regression; Survival analysis and ...