Bayesian methods in palliative care research: cancer-induced bone pain.
Richard Anthony ParkerTonje A SandeBarry LairdPeter HoskinMarie FallonLesley ColvinPublished in: BMJ supportive & palliative care (2020)
Several advantages of using Bayesian analysis are illustrated in this article. The Bayesian method allowed us to gain greater confidence in our interpretation of the results despite the small sample size by allowing us to incorporate data from a previous similar study. We suggest that this method is likely to be useful for the analysis of small diagnostic or predictive studies when prior information is available.
Keyphrases
- palliative care
- chronic pain
- papillary thyroid
- high glucose
- diabetic rats
- bone mineral density
- pain management
- electronic health record
- advanced cancer
- neuropathic pain
- squamous cell carcinoma
- health information
- machine learning
- soft tissue
- oxidative stress
- healthcare
- spinal cord injury
- data analysis
- endothelial cells
- postmenopausal women
- deep learning
- bone regeneration