This code is designed for constructing time-varying Cox regression models using the tmerge function ... Second, load the UKB cohort data and, if necessary, extract the time-independent covariates, ...

A series of Cox proportional hazards regression models were implemented to estimate the association of pain conditions across eight body sites and pain status with the risk of depression incidence, ...

where asthma and life-limiting conditions were time-varying variables, and the model was adjusted for all the covariates.26 Effect modification by life-limiting conditions or parental SES was tested, ...

Several authors have investigated RFS in breast cancer using the traditional Cox proportional hazards model. 5-8 Although the Cox model is useful to identify prognostic factors associated with the ...

The main exposure is HRT use, categorised based on compound, dose and route of administration, and modelled as a time-varying covariate. Analysis of HRT use precancer ... Statistical analysis will ...

We implemented Cox proportional hazard regressions, adjusting for time interactions or using propensity score-adjusted models, as necessary. Our exposures included prescriptions ... corrected ...

To identify factors associated with SBIs, we fitted simple and multiple Cox proportional hazards models and computed HRs ... divided into two categories using 33 months as a cut-off for SBI. This ...

Daredevil: Born Again brings a gritty, violent vibe to the MCU along with a time jump and character growth ... that the franchise has big plans for Cox’s Daredevil, a major MCU rumour that ...

The list of flagship AI models that missed their promised launch ... this isn’t the first time Musk has set a lofty goal and missed it. It’s well-established that Musk’s pronouncements ...

While talking at a Fan Expo, Charlie Cox revealed his excitement about staying in the red suit for years to come. “They’re getting ready to release a comic that takes place where Matt Murdock is in ...