Peter D. Baade

TL;DR: In this paper, the authors investigate the impact of differing definitions of geographical scales using a multilevel model and compare the grid-based partitions and compare it with the popular census region approach.

TL;DR: In this article, a case study for modelling individual disease outcomes using several Bayesian hierarchical spatio-temporal models, while taking into account the possible impact of spatial and temporal aggregation, was performed.

TL;DR: This study has identified a geographical cluster with much higher EC mortality rates and the clustering pattern has largely unchanged over the past 40 years in Shandong, China, suggesting the key drives for geographic variations in esophageal cancer may not have changed.

TL;DR: This study describes the protocol for a randomised controlled trial to assess the efficacy and cost-effectiveness of an internet-based psychological intervention for distressed patients with cancer and provides recommendations about the efficacy of web-based cognitive behavioural interventions to facilitate better psychosocial adjustment for people with cancer.

TL;DR: While reduced impact of a cancer diagnosis on LOLE over time is encouraging, the growing number of cancer survivors in Australia is likely to pose complex challenges for cancer patients, their care givers, and health-care systems.