Background The exchange of knowledge between statisticians developing new
methodology and clinicians, reviewers or authors applying them is fundamental. This is …

The log-normal, log-logistic and Weibull distributions are commonly utilized to model
survival data. Unimodal (or non-monotone) failure rate functions are modeled using the log …

Background Studies to compare the survival of two or more groups using time-to-event data
are of high importance in medical research. The gold standard is the log-rank test, which is …

Survival Analysis models usually output functions (survival or hazard functions) rather than
point predictions like regression and classification models. This makes the explanations of …

Survival analysis is a collection of statistical techniques which examine the time it takes for
an event to occur, and it is one of the most important fields in biomedical sciences and other …

A fully parametric accelerated failure time (AFT) model with a flexible, novel modified
exponential Weibull baseline distribution called the extended exponential Weibull …

Imputation is a standard procedure in dealing with missing data and there are many
competing imputation methods. It is proposed to analyze imputation procedures via …

The concordance probability, also called the C-index, is a popular measure to capture the
discriminatory ability of a predictive model. In this article, the definition of this measure is …

Modelling the outcome after loan default is receiving increasing attention, and survival
analysis is particularly suitable for this purpose due to the likely presence of censoring in the …

Conditional hazard rate estimation for right censored data Page 1 Bernoulli 30(3), 2024,
2423–2449 https://doi.org/10.3150/23-BEJ1679 Conditional hazard rate estimation for right …