Longitudinal Trajectories of Dental Attendance in Australian Adults.

Understanding how dental attendance evolves throughout life can inform targeted preventive health care policies by identifying key moments when people are more or less likely to seek dental care. Trajectory modeling of age and time trajectories takes a life course approach to understanding dental attendance, offering insights into both developmental perspectives (e.g.

Effect of Becoming Unemployed on Affordability of Oral Health Care among Australian Adults.

Introduction: Oral health care impacts of unemployment are not well understood. This is particularly important as many people, even in high-income countries, lack publicly funded oral health care, creating a financial burden for working-age individuals. This study aims to investigate the short-term effect of becoming unemployed on affordability of oral health care among working-age Australian adults.

TARGET Protein: the effect of augmented administration of enteral protein to critically ill adults on clinical outcomes-statistical analysis plan for a cluster randomized, cross-sectional, double cross-over, clinical trial.

Background: The TARGET Protein trial will evaluate the effect of greater enteral protein delivery (augmented protein) on clinical outcomes of critically ill adult patients when compared to usual care.

Objective: To describe the statistical analysis plan for the TARGET Protein trial.

Methods: TARGET Protein is a cluster randomized, cross-sectional, double cross-over, open-label, registry-embedded, pragmatic clinical trial conducted across Australia and New Zealand.

Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data note.

Objectives: The interrupted time series (ITS) design is commonly used to investigate the impact of an intervention or exposure in public health. There are many statistical methods that can be used to analyse ITS data and to meta-analyse their results. We undertook two empirical studies to investigate: (i) how effect estimates (and associated statistics) compared when six statistical methods were applied to 190 real-world datasets; and (ii) how meta-analysis effect estimates (and associated statistics) compared when the combinations of two ITS analysis methods and five meta-analysis methods were applied to 17 real-world meta-analyses including 283 ITS datasets.