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Race adjustment, also known as race-correction, [1] [2] is the calculating of a result which takes into account race. [1] It is commonly used in medical algorithms in several specialties, including cardiology, nephrology, urology, obstetrics, endocrinology, oncology and respiratory medicine. [1]
RAC drawings of the complete graph K 5 and the complete bipartite graph K 3,4. In graph drawing, a RAC drawing of a graph is a drawing in which the vertices are represented as points, the edges are represented as straight line segments or polylines, at most two edges cross at any point, and when two edges cross they do so at right angles to each other.
An odds ratio (OR) is a statistic that quantifies the strength of the association between two events, A and B. The odds ratio is defined as the ratio of the odds of event A taking place in the presence of B, and the odds of A in the absence of B. Due to symmetry, odds ratio reciprocally calculates the ratio of the odds of B occurring in the presence of A, and the odds of B in the absence of A.
In probability experiments on a finite sample space with a non-zero probability for each outcome, there is no difference between almost surely and surely (since having a probability of 1 entails including all the sample points); however, this distinction becomes important when the sample space is an infinite set, [2] because an infinite set can ...
John Kerrich was born in Norfolk, England [2] and grew up in South Africa. He was educated there and in the UK (First class Honours in Mathematics & MSc Astronomy, University of the Witwatersrand; Diploma in Actuarial Mathematics, University of Edinburgh). He was appointed lecturer in mathematics in 1929, and senior lecturer six years later.
For instance, one study of about 300 people from 2023 found that getting both initial COVID-19 vaccines in the same arm produced the strongest immune response (but, importantly, alternating arms ...
The probability distribution of the sum of two or more independent random variables is the convolution of their individual distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of independent random variables is the convolution of their corresponding probability mass functions or probability density functions respectively.
(Note: r is the probability of obtaining heads when tossing the same coin once.) Plot of the probability density f(r | H = 7, T = 3) = 1320 r 7 (1 − r) 3 with r ranging from 0 to 1. The probability for an unbiased coin (defined for this purpose as one whose probability of coming down heads is somewhere between 45% and 55%)