A machine learning approach to predict mortality due to immune-mediated thrombotic thrombocytopenic purpura.

Background: Mortality due to immune-mediated thrombotic thrombocytopenic purpura (iTTP) remains significant. Predicting mortality risk may potentially help individualize treatment. The French Thrombotic Microangiopathy (TMA) Reference Score has not been externally validated in the United States.

The core epistemic responsibilities of universities: Results from a Delphi study.

Epistemic responsibilities (ERs) of universities concern equipping and empowering its researchers, educators and students to attain, produce, exchange and disseminate knowledge. ERs can potentially guide universities in improving education, research and in service to society. Building on earlier philosophical work, we applied empirical methods to identify core ERs of universities and their constituting elements.

Copula graphic estimation of the survival function with dependent censoring and its application to analysis of pancreatic cancer clinical trial.

In this article, we consider a survival function estimation method that may be suitable for analyses of clinical trials of cancer treatments whose prognosis is known to be poor such as pancreatic cancer treatment. Typically, these kinds of trials are not double-blind, and patients in the control group may drop out in more significant numbers than in the treatment group if their disease progresses (DP). If disease progression is associated with a higher risk of death, then censoring becomes dependent.