Researchers develop an AI model that uses ECG data to predict the risk for adverse vascular events in patients with migraine.

Cox DR: Regression models and life tables (with discussion). J R Stat Soc Ser B 1972; 34: 187–220. Cuzick J : The efficiency of the proportions test and the logrank test for censored survival data.

The first prediction tool of its kind for early-stage classic Hodgkin lymphoma provides estimates using continuous variables capturing nonlinear context.

Although Cox and logistic regression models have been compared previously in cohort studies, this work does not completely cover the GWAS setting nor extend to the case-cohort study design.

Cox Proportional Hazards Model The PHREG procedure in SAS/STAT software performs regression analysis of survival or duration data based on the Cox proportional hazards model. Cox's semiparametric ...

We used a Cox proportional-hazards regression model to examine simultaneously the effects of multiple covariates on survival. 20 In all models, the categorical variables were tested for trend and ...

Dublin, Sept. 02, 2024 (GLOBE NEWSWIRE) -- The "Multiple Linear Regression, Logistic Regression, and Survival Analysis" webinar has been added to ResearchAndMarkets.com's offering. In this ...

Mixed-effects Cox regression models were used to estimate the treatment effect on the outcomes. Results. A total of 1036 patients were included in the analysis ...

Abbreviations: CCH, case-cohort design; CoxW, weighted Cox regression; LG, logistic regression; Opt, optimal design; SCCH, stratified case-cohort; SECC, stratified extreme case-control; TaoCox, Tao's ...