D
David K. Blough
Researcher at University of Washington
Publications - 112
Citations - 10711
David K. Blough is an academic researcher from University of Washington. The author has contributed to research in topics: Population & Cancer. The author has an hindex of 48, co-authored 112 publications receiving 9725 citations. Previous affiliations of David K. Blough include Duke University & Fred Hutchinson Cancer Research Center.
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Journal ArticleDOI
Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose.
Mark J. Rieder,Alexander P. Reiner,Brian F. Gage,Deborah A. Nickerson,Charles S. Eby,Howard L. McLeod,David K. Blough,Kenneth E. Thummel,David L. Veenstra,Allan E. Rettie +9 more
TL;DR: VKORC1 haplotypes can be used to stratify patients into low-, intermediate-, and high-dose warfarin groups and may explain differences in dose requirements among patients of different ancestries.
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Incidence, outcomes, and cost of foot ulcers in patients with diabetes.
Scott D. Ramsey,Katherine M. Newton,David K. Blough,David K. McCulloch,Nirmala Sandhu,Gayle E. Reiber,Edward H. Wagner +6 more
TL;DR: The results appear to support the value of foot-ulcer prevention programs for patients with diabetes and the attributable cost of care compared with that in patients without foot ulcers.
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Financial Insolvency as a Risk Factor for Early Mortality Among Patients With Cancer
Scott D. Ramsey,Aasthaa Bansal,Catherine R. Fedorenko,David K. Blough,Karen A. Overstreet,Veena Shankaran,Polly A. Newcomb +6 more
TL;DR: Severe financial distress requiring bankruptcy protection after cancer diagnosis appears to be a risk factor for mortality, according to Cox proportional hazards models.
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Washington State cancer patients found to be at greater risk for bankruptcy than people without a cancer diagnosis
Scott D. Ramsey,David K. Blough,Anne C. Kirchhoff,Karma L. Kreizenbeck,Catherine R. Fedorenko,Kyle Snell,Polly A. Newcomb,William Hollingworth,Karen A. Overstreet +8 more
TL;DR: Findings suggest that employers and governments may have a policy role to play in creating programs and incentives that could help people cover expenses in the first year following a cancer diagnosis and that Medicare and Social Security may mitigate bankruptcy risk for the older group.
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Modeling risk using generalized linear models.
TL;DR: A new approach to modeling the second part of two-part models utilizing extensions of the generalized linear model and the primary method of estimation for this model is maximum likelihood and the generalizations quasi-likelihood and extended quasi- likelihood are discussed.