Objectives While exercise adherence is known to vary during cancer treatment, little is known about what predicts these ...

2 Centre for Health Economics and Medicines Evaluation, Institute of Medical and Social Care Research, Bangor University, Bangor, UK 3 North Wales Centre for Primary Care Research, Bangor University, ...

The aim of this research therefore was to streamline the understanding of typical causal structures in both randomized and nonrandomized clinical trials in oncology, presenting concise guidelines for ...

Abstract: Learning Markov blankets (MBs) plays an important role in many machine learning tasks, such as causal Bayesian network structure learning, feature selection, and domain adaptation. Since ...

Burdensome Medicaid renewal processes are a known source of coverage loss among eligible people. In spring 2023, the pause in Medicaid disenrollment resulting from the COVID-19 public health emergency ...

Interventions during prenatal care can mitigate negative outcomes of a sedentary lifestyle and unhealthy diet during pregnancy. We aimed to evaluate the effectiveness of an intervention that promoted ...

Objectives To identify variables that predict health service utilisation (HSU) by adults with mental disorders in the UK, and to determine the evidence level for these predictors. Setting The majority ...

6 Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA Correspondence to Dr Hiroyuki Hikichi, Department of Social and Behavioral ...

I’m hoping to specify a joint intervention in a survival analysis in which one of the intervention variables, ‘cum_A’, is the cumulative sum of the other intervention variable, ‘A’. In the treated ...

ABSTRACT: The study explores the factors influencing perceived brand quality in emerging markets, specifically focusing on smartphone consumers in Siem Reap, Cambodia. The objective is to identify the ...