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Full-Text Articles in Medicine and Health Sciences
Transforming Prescription Opioid Practices In Primary Care With Change Theory, Rob E. Carpenter, Dave Silberman, Jody Takemoto
Transforming Prescription Opioid Practices In Primary Care With Change Theory, Rob E. Carpenter, Dave Silberman, Jody Takemoto
Human Resource Development Faculty Publications and Presentations
The opioid epidemic continues to be an ongoing public health crisis. Many primary health care providers aptly serve as the gate keeper to opioid prescriptions. The opioid epidemic has challenged the primary care profession whilst many of these providers have opted out of opioid prescribing altogether. This unintended consequence affirms erosion to primary care that is vital to the ecosystem of opioid management. The purpose of this study was to understand strategies to deliver opioids safely and effectively. Results indicate primary care providers are uniquely positioned to make a positive opioid impact through focused change initiatives. Five common themes arose …
Boosting And Lassoing New Prostate Cancer Snp Risk Factors And Their Connection To Selenium, David E. Booth, Venugopal Gopalakrishna-Remani, Matthew L. Cooper, Fiona R. Green, Margaret P. Rayman
Boosting And Lassoing New Prostate Cancer Snp Risk Factors And Their Connection To Selenium, David E. Booth, Venugopal Gopalakrishna-Remani, Matthew L. Cooper, Fiona R. Green, Margaret P. Rayman
Management Faculty Publications and Presentations
We begin by arguing that the often used algorithm for the discovery and use of disease risk factors, stepwise logistic regression, is unstable. We then argue that there are other algorithms available that are much more stable and reliable (e.g. the lasso and gradient boosting). We then propose a protocol for the discovery and use of risk factors using lasso or boosting variable selection. We then illustrate the use of the protocol with a set of prostate cancer data and show that it recovers known risk factors. Finally, we use the protocol to identify new and important SNP based risk …