The independent variable, frailty, was measured on an index that in theory ranges from 0 to 1, where a higher value indicates greater frailty. Before the stroke, the patients scored from 0 to 0.56, ...

Note this does not mean that the x or y variables have to be Normally distributed. That the relationship between the two variables is linear. That the scatter of points about the line is approximately ...

This paper generalizes Wyner's definition of common information of a pair of random variables to that of N random variables. We prove coding theorems that show the same operational meanings for the ...

Multivariate regression enables you to relate one dependent variable to multiple independent variables you've derived ... Just because two things are correlated doesn't mean that they have a ...

In particular, these general bounds are shown to subsume and possibly improve over several existing PAC-Bayes and data-dependent intrinsic dimension-based bounds that are recovered as special cases, ...

For example, the dependent variable could be a firm’s stock price and the independent variables could be the Standard and Poor’s (S&P) 500 Index and the national unemployment rate, assuming ...

A total of 52 patients with transfusion-dependent β-thalassemia received exa-cel and were included in this prespecified interim analysis; the median follow-up was 20.4 months (range, 2.1 to 48.1).

It is a hypothesis-based test, meaning that it aims to evaluate multiple mutually exclusive theories about our data. Before we can generate a hypothesis, ... Your dependent variable – here, “weight”, ...

Hi, I am trying to execute the graphcast operational model with my own data and it seems to be a problem with the xarray object I build with operational data. When I run an script that get the ...