OBJECTIVES To determine whether observational studies that use an electronic medical record database can provide valid results of therapeutic effectiveness and to develop new methods to enhance validity. DESIGN Data from the UK general practice research database (GPRD) were used to replicate previously performed randomised controlled trials, to the extent that was feasible aside from randomis...

In light of the growing burden CKD (Chronic Kidney Disease), it is particular importance to us create disease prediction models that will assist healthcare providers in identifying cases individual risk and integrate risk-based care for progress management. The objective was develop validate a new pragmatic ESKD (End-Stage Disease) utilizing Cox (Cox proportional hazard) ML (machine learning).

BACKGROUND When considering treatment options, a physician needs to know the prognosis corresponding to the risk profile of the patient seeking treatment. Reports of clinical trials generally address treatment-specific survival probabilities only in the aggregate, i.e., for the typical patient, and often express the difference in survival as a hazard ratio. Such summaries do not provide treatme...

Fine and Gray (1999) suggested a Cox model for the subdistribution hazard, which is the hazard attached to the cumulative incidence function of interest in a competing risks setting. They also noted that standard Cox software may be used to fit the model provided that the potential censoring times are known for individuals observed to experience a competing event (‘censoring complete data’) and...

OBJECTIVE Primary colorectal cancer (CRC) with signet-ring cell (SRC) component is a distinct tumor of colon and rectum, and its prognosis is very poor. Reliable markers to predict the poor clinical outcome of this subgroup cancer remains undetermined. Therefore, we perform this study to investigate the prognosis value of seven proteins in CRC with SRC component . PATIENTS AND METHODS This st...

Abstract We consider high‐dimensional inference for potentially misspecified Cox proportional hazard models based on low‐dimensional results by Lin and Wei (1989). A desparsified Lasso estimator is proposed the log partial likelihood function shown to converge a pseudo‐true parameter vector. Interestingly, sparsity of true can be inferred from that above limiting parameter. Moreover, each compo...

The PHSPLM procedure describes survival data using a. parametric proportional hazards model where the baseline hazard is a eubic spline function with tails that are linearly restricted. Herndon (1988) has propooed this flexible hazard modd 8$ an alternative to the Cox model (1972). Properties of this model include: efficiency of estimation of cavariable coefficients and survival probabilities, ...