Michael D Stillman

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OBJECTIVES To identify from whom individuals with spinal cord injury (SCI) seek health care, the percentage who receive preventative care screenings, and the frequency and types of barriers they encounter when accessing primary and specialty care services; and to examine how sociodemographic factors affect access to care and receipt of preventative(More)
The Americans with Disabilities Act (ADA) requires full and equal access to healthcare services and facilities, yet studies indicate individuals with mobility disabilities receive less than thorough care as a result of ADA noncompliance. The objective of our pilot study was to assess ADA compliance within a convenience sample of healthcare clinics(More)
CONTEXT Medical students must consider many overt variables when entering the National Resident Matching Program. However, changes with the single graduate medical education accreditation system have caused a gap in knowledge about more subtle considerations, including what, if any, influence the presence of osteopathic physician (ie, DO) and international(More)
A year after seeing a physician for abdominal pain and obstipation and being told he couldn't be adequately evaluated without insurance, an uninsured man is diagnosed with metastatic colon cancer. Like thousands of other Americans, he will die for lack of insurance.
These notes, written for the CIMPA School on “Systems of polynomial equations” (Argentina, 2003), have two goals: to present the underlying ideas and tools for computing primary decompositions of ideals, and to apply these techniques to a recent interesting class of ideals related to statistics. Primary decompositions are an important notion both in(More)
Evaluating the likelihood function of parameters in highly-structured population genetic models from extant deoxyribonucleic acid (DNA) sequences is computationally prohibitive. In such cases, one may approximately infer the parameters from summary statistics of the data such as the site-frequency-spectrum (SFS) or its linear combinations. Such methods are(More)
Evaluating the likelihood function of parameters in complex population genetic models from extant deoxyribonucleic acid (DNA) sequences is computationally prohibitive. In such cases, one may approximately infer the parameters from various summary statistics of the data. Such method are known as approximate likelihood/Bayesian computations. We employ(More)