Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to ...

GraphPad Prism combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. While it won't replace a heavy-duty statistics ...

GraphPad Prism 10.3.3 significantly improves the theoretical methods and the estimation of discrete variables. It utilizes a polynomial complementary program to assess the extrapolation module, ...

在本文中，我们将详细介绍如何使用GraphPad Prism绘制酶联免疫吸附实验（ELISA）的标准曲线，确保您能够轻松掌握这项技能。 在开始之前，请确保您已经安装了GraphPad Prism 10，并准备… ...

在科研的广阔天地中，GraphPad Prism就像一把精确的瑞士军刀，为实验数据分析提供强大的支持。许多同学仅停留在基础统计功能（如t检验、ANOVA），但高级统计模型如非线性回归、生存分析、更能释放数据的潜力。本篇文章将带你深入探索GraphPad Prism中的五大高级统计模型，助你从统计小白跃升为 ...

This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

The use of individualized logistic regression, in which a series of separate simple logistic regression analyses are performed as a replacement for polychotomous logistic regression, is studied. The ...

Linear regression and innovative logistic regression models were used to analyse susceptible persons on the internet. Novel logistic regression achieves a higher accuracy rate of 97.92 % compared to ...