Therefore, we performed a univariate Cox regression analysis in STATA (V.11.0, College Station ... all variables with p value ≤0.10 were considered further in a backward stepwise multivariate Cox ...

Cox regression and ... TC activity and patient OS, a univariate Cox proportional hazards analysis was conducted on a select group of patients with available follow-up data (n=541, Supplementary file 1 ...

We conducted univariate analysis to examine the hazard ratio (HR) associated with the individual variables. Sex, age, deprivation, cancer diagnosis and admission during the previous year were all ...

The genes screened for significant association with RFS in the regression analysis (p<0.01 ... Further, we performed univariate and multivariate Cox analyses to determine whether the risk score could ...

Multivariate Cox regression was used to adjust for confounding factors and identify risk predictors. This observation challenges the notion of MAFLD as an independent predictor for HCC.

Kaplan-Meier estimates were used to generate survival curves, and multivariate Cox regression models were conducted to assess survival outcomes. The study included 7803 Asian American, Native ...

In this paper, we proposed a framework, called Mulr4FL, for fault localization using a multivariate logistic regression model that combined both static and dynamic features collected from the program ...

LASSO Regression with 10-Fold Cross-Validation on RFS (A), TTF (B) and PFS (C). RFS: Recurrence-free survival; TTF: Time to BCG failure; PFS: Progression-free survival. The correct material statement ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical ... The program package Stata will be used in the exercises. You have to ...