BACKGROUND The Cox model has been the mainstay of survival analysis in the critically ill and time-dependent covariates have infrequently been incorporated into survival analysis. OBJECTIVES To model 28-day survival of patients with acute lung injury (ALI) and acute respiratory distress syndrome (ARDS), and compare the utility of Cox and accelerated failure time (AFT) models. METHODS Prospe...

Simulation studies present an important statistical tool to investigate the performance, properties and adequacy of statistical models in pre-specified situations. One of the most important statistical models in medical research is the proportional hazards model of Cox. In this paper, techniques to generate survival times for simulation studies regarding Cox proportional hazards models are pres...

The Bayesian approach to analyzing semi-parametric models are gaining popularity in practice. For the Cox proportional hazard model, it has been shown recently that the posterior is consistent and leads to asymptotically accurate confidence intervals under a Lévy process prior on the cumulative hazard rate. The explicit expression of the posterior distribution together with independent incremen...

BACKGROUND AND OBJECTIVES Comparing outcomes of arteriovenous grafts and fistulas is challenging because the pathophysiology of access dysfunction and failure rate profiles differ by access type. Studying how risks vary over time may be important. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Longitudinal data from 535 incident hemodialysis patients were used to study the relationship between...

AIMS/INTRODUCTION Despite the use of intensive therapies, declining renal function is often observed during the overt nephropathy stage of type 2 diabetes. We aimed at investigating the role of serum uric acid (SUA) levels at the onset of overt nephropathy in the risk of renal function decline in type 2 diabetes patients. MATERIALS AND METHODS The present cohort study included 290 type 2 diab...

Survival analysis is a statistical method used to analyze data with time until the occurrence of certain event which commonly referred as "failure". One objectives survival determine effect predictor variables on time. The purpose this study was regression model and hazard ratio each factor that thought affect cervical cancer patients. results showed factors influence patients in their are stag...

background: hyperglycemia is frequently encountered in critically ill patients and has been shown to contribute to both morbidity and mortality. we aimed to study the predictive role of blood glucose level in clinical outcomes of mechanically ventilated patients with traumatic brain injury during intensive care unit (icu) stay and to explore its relationship with glasgow coma scale (gcs) and ac...