Using a cost of illness (COI) framework, this article examines the economic impact of
attention-deficit/hyperactivity disorder (ADHD) in childhood and adolescence. Our review of …

Background. Microsimulation models (MSMs) for health outcomes simulate individual event
histories associated with key components of a disease process; these simulated life histories …

Kendall's Advanced Theory of Statistics and Kendall's Library of Statistics The development
of modern statistical theory in the past fifty years is reflected in the history of the late Sir …

This review examines the state of Bayesian thinking as Statistics in Medicine was launched
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …

Statistical evaluation of diagnostic performance in general and Receiver Operating
Characteristic (ROC) analysis in particular are important for assessing the performance of …

Health economic evaluations have recently become an important part of the clinical and
medical research process and have built upon more advanced statistical decision-theoretic …

Health economics is a relatively new discipline, essentially characterised by the integration
of different expertise and perspectives. Clearly, the clinical aspect is fundamental and the …

While local explanations for AI models can offer insights into individual predictions, such as
feature importance, they are plagued by issues like instability. The unreliability of feature …

Background Clinical uncertainty and equipoise are vague notions that play important roles
in contemporary problems of medical care and research, including the design and conduct …

In this article we define a hierarchical Bayesian model for microarray expression data
collected from several studies and use it to identify genes that show differential expression …