Background Available methods for the joint modelling of longitudinal and time-to-event
outcomes have typically only allowed for a single longitudinal outcome and a solitary event …

A clinical prediction model is a tool for predicting healthcare outcomes, usually within a
specific population and context. A common approach is to develop a new clinical prediction …

Clinical registries will have an increasingly important role to play in health-care, with a
number already established in cardiac surgery. This review covers the fundamentals of …

As part of the peer review process for the European Journal of Cardio-Thoracic Surgery
(EJCTS) and the Interactive CardioVascular and Thoracic Surgery (ICVTS), a statistician …

OBJECTIVES Progressive loss of calibration of the original EuroSCORE models has
necessitated the introduction of the EuroSCORE II model. Poor model calibration has …

When designing a clinical study, a fundamental aspect is the sample size. In this article, we
describe the rationale for sample size calculations, when it should be calculated and …

Multivariable regression models are used to establish the relationship between a dependent
variable (ie an outcome of interest) and more than 1 independent variable. Multivariable …

Objectives Surgery for acute type A aortic dissection (ATAD) carries a high risk of operative
mortality. We examined the surgeon volume-outcome relation with respect to in-hospital …

Aims: We aimed to estimate the rate of renal artery adverse events following renal
denervation with the most commonly applied radiofrequency catheter system based on a …

Salinity is a key abiotic property of inland waters; it has a major influence on biotic
communities and is affected by many natural and anthropogenic processes. Salinity of …