How many are affected? A real limit of epidemiology
نویسندگان
چکیده
منابع مشابه
How Many Are Affected? A Real Limit of Epidemiology
We read with interest Charlie Poole’s commentary [1] on our paper, “Redundant causation from a sufficient cause perspective,”[2] in which he questions the utility of the sufficient component cause (SCC) model for examining differences between etiologic and excess effects. Poole contends that the concept we term “redundant causation” is uncomplicated and (we presume), well understood. He questio...
متن کاملAuthor's response to Poole, C. Commentary: How Many Are Affected? A Real Limit of Epidemiology
A person can experience an effect on the occurrence of an outcome in a defined follow-up period without experiencing an effect on the risk of that outcome over the same period. Sufficient causes are sometimes used to deepen potential-outcome explanations of this phenomenon. In doing so, care should be taken to avoid tipping the balance between simplification and realism too far toward simplific...
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Let A be an n x n matrix whose elements are independent randomvariables with standard normal distributions. As n ..... 00 , the expected numberof real eigenvalues is asymptotic to .J2nln. We obtain a closed form expres-sion for the expected number of real eigenvalues for finite n, and a formula forthe density of a real eigenvalue for finite n. Asymptotically, a real normalized<l...
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ژورنال
عنوان ژورنال: Epidemiologic Perspectives & Innovations
سال: 2010
ISSN: 1742-5573
DOI: 10.1186/1742-5573-7-6