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, ...

Effects of Language Barriers and Social Integration on Academic Achievement of International Students. Open Access Library Journal, 12, 1-15. doi: 10.4236/oalib.1113542 . Language barriers are a ...

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 ...

The dependent variable is normally distributed; The observations are sampled independently; The dependent variable is measured on an incremental level, such as ratios or intervals. The variance of ...

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 ...