Publications by authors named "Atika Farzana Urmi"
Article Synopsis
- Recent advancements in sequencing technologies are improving the diagnosis and prognosis of head and neck cancer by providing extensive genome-wide data.
- The paper presents -KIDS, a novel method for screening predictive markers in ultrahigh dimensional right-censored data, which effectively controls false discovery rates.
- The methodology is validated using real head and neck cancer survival data from The Cancer Genome Atlas and is accessible through the R package DSFDRC on GitHub.
Importance: Dual Eligible Special Needs Plans (D-SNPs) are private managed care plans designed to promote Medicare and Medicaid integration for full-benefit, dually eligible beneficiaries. Currently, the highest level of D-SNP integration occurs in plans with exclusively aligned enrollment (EAE).
Objective: To compare patient experience of care, out-of-pocket spending, and satisfaction among dually enrolled Medicaid beneficiaries in D-SNPs with EAE, those in D-SNPs without EAE, and those with traditional Medicare.
Background: Shortages of providers authorized to prescribe buprenorphine may limit access to buprenorphine, which studies have shown to be effective in the treatment of opioid use disorder (OUD).
Objective: To examine whether two state Medicaid policies in Virginia-the Addiction and Recovery Treatment Services (ARTS) program in 2017, and Medicaid expansion in 2019-increased the number of buprenorphine waivered providers (BWP) in Virginia, compared to other southern states in the United States that did not expand Medicaid.
Methods: The study population includes providers authorized to prescribe buprenorphine.