Lasso-Cox analysis uses the “glmnet” R software package to integrate survival time, survival state, and gene expression data to screen and identify candidate ARGs for constructing prognostic models to ...

Results show that the optimal design had the highest power and accurate effect size estimation under the Cox regression model. Surprisingly, logistic regression achieved similar power with much lower ...

Large meta-analysis links hysterectomy and bilateral oophorectomy with elevated stroke risk independently, and by 51% with ...

It was possible, using Cox models, to correct for the waiting-time bias, but the strong protective effect of termination of hospitalization on the risk for infection remained difficult to interpret.

We first consider a stratified Cox regression model with time-independent coefficients and propose a procedure for estimating the model parameters using the zero-truncated recurrent event data ...

Patients with severe psoriasis who were treated with TNFi long-term had a lower risk of developing PsA than those treated with phototherapy.

Outcome was self-reported overuse running-related injury. A multistate Cox regression model was used to estimate adjusted hazard rate ratios (HRR). Results Among 5205 runners (mean age 45.8 years, ...