Background: With recent changes in the United Kingdom's clinical practice for diabetes
mellitus care, contemporary estimates of sex disparities in cardiovascular risk and risk factor …

Background Longitudinal categorical variables are sometimes restricted in terms of how
individuals transition between categories over time. For example, with a time-dependent …

Objective To compare several methods of missing data imputation for function (Health
Assessment Questionnaire) and for disease activity (Disease Activity Score-28 and Clinical …

We aimed to estimate unbiased effects of mental health problems (MHPs) on school
performance in first graders, with an emphasis on rigorous adjustment for potential …

Body weight is the primary covariate in pharmacokinetics of many drugs and dramatically
changes during the first weeks of life of neonates. The objective of this study is to determine …

Health stakeholders usually need complete, accurate and reliable estimates of various
health outcomes to make decisions on improving health care delivery. Missing observations …

Background and purpose Handling missing values is a prevalent challenge in the analysis
of clinical data. The rise of data-driven models demands an efficient use of the available …

Marginal structural models (MSMs) are commonly used to estimate causal intervention
effects in longitudinal non-randomised studies. A common issue when analysing data from …

Bakgrunn: Bulimia nervosa (BN) er en spiseforstyrrelse som kjennetegnes ved
tilbakevendende episoder av overspising i kombinasjon med kompensatorisk atferd. Ved …

The importance of social relationships for health in later life has been explored over the past
decades. Loneliness has been found to be an adversity associated with ageing. People who …