This project implements a simple linear regression model to predict ice cream sales based on temperature. It includes user interaction for collecting data, building the regression model, making ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for ...

Photographs were analysed in a masked fashion by computer assisted planimetry. The relation between vertical cup diameter and DD was explored by linear regression, and expressed in terms of CDR. The ...

Highlights,XRP's yearly candle closes above $2 for the first time.,Linear regression channel identifies XRP's key price ...

Adjusted linear increments in relative risks (per 100 f/ml.y), estimated by Poisson regression, were: lung cancer (0.36, 95% CI 0.03 to 1.20), NMRD (0.38, 95% CI 0.12 to 0.96), and all deaths (0.14, ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

In a multivariate linear regression model, after adjusting for age, sex, and a series of clinical data and objective tests, both age (β=−0.30; P=0.038) and the natural log of left ventricular ejection ...

Background and objective Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic ...

In this chapter, we propose a log-linear model for the biases observed when analyzing model communities data. Our model expands the recent work from McLaren, Willis and Callahan (MWC) [eLife, 8:e46923 ...