Consequently, an amendment to the study protocol was issued before unblinding, defining a secondary efficacy analysis of the primary endpoint that is, analysis of a binary endpoint (progression vs non-progression at 3 years) derived from the continuous JSN.
However, in this article, we develop a completely new sampling model that is suited to estimating parameters from any experiment involving some combination of binary markers of progression.
Cox regression models were fitted to the time to the binary outcome of glycaemia progression, stratified by major CVD status and adjusted for baseline age and diabetes duration with further adjustment for baseline lipids.
A stepwise logistic regression analysis of the binary variable presence/absence of progression included the following potential predictors: age, gender, baseline IOP, change in IOP (last visit - baseline), primary diagnosis, history of hypertension, history of hypotension, and history of diabetes.
Furthermore, existing methods are designed to handle only a single binary marker of cell cycle progression at a time.
RESULTS: Here, we develop a new sampling model to accommodate an arbitrary number of different binary markers that characterize the progression of a population of dividing cells along a branching process.
This model could predict metastatic progression as a binary outcome (Table 3).
This analysis illustrates how the model can easily accommodate any binary markers of cell cycle progression.
In this work, we have identified a gene methylation panel for binary classification of breast cancer progression.
Because of the challenge posed by modeling an arbitrary number of different binary markers of cell cycle progression, we need to devise a new, general sampling model.
