Background In clinical research, there is an increasing interest in joint modelling of
longitudinal and time-to-event data, since it reduces bias in parameter estimation and …

The evidence‐based medicine allows the physician to evaluate the risk–benefit ratio of a
treatment through setting and data. Risk‐based choices can be done by the doctor using …

Survival analysis is one of the most important fields of statistics in medicine and biological
sciences. In addition, the computational advances in the last decades have favored the use …

Background Women with dense breasts have an increased risk of breast cancer. However,
breast density is measured with variability, which may reduce the reliability and accuracy of …

Mechanical ventilation is a common procedure of life support in intensive care. Patient‐
ventilator asynchronies (PVAs) occur when the timing of the ventilator cycle is not …

Background The effect of changes in mammographic density over time on the risk of breast
cancer remains inconclusive. Methods We used information from four centres of the Breast …

Background Researchers have suggested that longitudinal trajectories of mammographic
breast density (MD) can be used to understand changes in breast cancer (BC) risk over a …

Background Several studies have proposed personalized strategies based on women's
individual breast cancer risk to improve the effectiveness of breast cancer screening. We …

<? show [AQ ID= GQ2 POS=-20pt]?><? show [AQ ID= GQ5 POS= 12pt]?> Joint modeling of
longitudinal and survival data is increasingly used in biomedical studies. However, existing …

Mammography-based screening programs play a crucial role in reducing breast cancer
mortality through early detection. Their efficacy is influenced by breast density, a dynamic …