This article considers the utility of the bounded cumulative hazard model in cure rate
estimation, which is an appealing alternative to the widely used two-component mixture …

When analyzing time-to-event data, it often happens that a certain fraction of the data
corresponds to subjects who will never experience the event of interest. These event times …

The envelope spike (S) proteins of MERS-CoV and SARS-CoV determine the virus host
tropism and entry into host cells, and constitute a promising target for the development of …

We propose a general class of prior distributions for arbitrary regression models. We discuss
parametric and semiparametric models. The prior specification for the regression coefficients …

Donald P. Green, Soo Yeon Kim, and David H. Yoon argue that many findings in quantitative
international relations that use the dyad-year design are flawed. In particular, they argue that …

Adopting a broad view of statistical inference, the text concentrates on what various
techniques do, with mathematical proof kept to a minimum. The approach is rigorous but …

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years
that provides a comprehensive and systematic introduction to the basics of modern cure …

When survival data arise from prevalent cases ascertained through a cross-sectional study,
it is well known that the survivor function corresponding to these data is length biased and …

BACKGROUND Breast cancers that are negative for estrogen receptor (ER), progesterone
receptor (PR), and human epidermal growth factor receptor 2 (HER2)(triple negative [TN]) …

Cure models can be used for censored survival data in which a fraction of the observations
do not exhibit the event of interest despite long-term follow-up. In this paper we investigate …