Competing risks survival data under middle censoring—An application to COVID-19 pandemic

INFERENCE ON CENSORED SURVIVAL DATA UNDER COMPETING RISKS by

Simulating competing risks data in survival analysis.

Competing risks analysis considers time-to-first-event ('survival time') and the event type ('cause'), possibly subject to right-censoring. The cause-, i.e. event-specific hazards, completely determine the competing risk process, but simulation studies often fall back on the much criticized latent failure time model. Cause-specific hazard-driven simulation appears to be the exception; if done, ...

The role of data science in encountering COVID-19 pandemic

The COVID-19 pandemic started in China and quickly spread throughout the world. This pandemic has affected the health of millions of people, the global economy and has challenged the majority of scientists and politicians to find effective medical treatments and intelligent policies to reduce the side effects of this pandemic as soon as possible. Technological advancements have enabled us to co...

Data, information, and knowledge amidst the COVID-19 pandemic

Converting data into information, knowledge, and then wisdom is the most onerous part of science, especially biological sciences. More attention must be paid to the difficulty inherent in this process amid the emergence and the spread of a novel virus, since neglecting the distinction between these epistemic categories can lead to incomplete and even incorrect identification of the causes and t...

High-Dimensional Variable Selection and Prediction under Competing Risks with Application to SEER-Medicare Linked Data

Competing risk analysis considers event times due to multiple causes, or of more than one event types. Commonly used regression models for such data include 1) cause-specific hazards model, which focuses on modeling one type of event while acknowledging other event types simultaneously; and 2) subdistribution hazards model, which links the covariate effects directly to the cumulative incidence ...