Models identified were: Univariate Cox regression in 62 studies (60.2%); Multivariate Cox regression in 12 studies (11.7%); both univariate and multivariate cox regression in 12 studies (11.7%), ...

Univariate and multivariate Cox proportional hazards regression analyses were conducted to identify factors associated with the development of oral MDR-MM PI. All continuous variables were analysed in ...

We have developed a univariate and multivariate stepwise regression model incorporating the ISCL/EORTC proposed staging criteria and diverse ... and PFS), univariate Cox proportional hazards models ...

2. manipulating person-time data in Stata using the st commands; 3. analysis of rates using Mantel-Haenszel methods and Poisson regression; 4. splitting follow-up time to allow for exposures that ...

Background Injuries are often recurrent, with subsequent injuries influenced by previous occurrences and hence correlation between events needs to be taken into account when analysing such data.

4 credits overlap with FHE4120 – Introduction to Logistic and Cox regression. Teaching. The course is organized as full day teaching over four days and includes lectures, exercises and PC-labs. The ...

4. Conclusion. In this paper, we have used stratified Cox regression analysis to evaluate the effects of some potential prognostic factors on the overall survival of patients with nonsmall cell lung ...

Poisson regression is a method of modelling disease rates as a function of covariate levels that is often applied in the analysis of data from occupational cohort studies. 1 Analyses are typically ...

Impact of nucleos(t)ide analogues on the risk of hepatocellular carcinoma in chronic hepatitis B patients: A time-dependent Cox regression analysis Provisionally accepted Makoto Moriyama 1 Ryosuke ...