Significance testing, with appropriate multiple testing correction, is currently the most convenient method for summarizing the evidence for association between a disease and a genetic variant.
The books Lies, Damn Lies, and Statistics (Wheeler, 1976) and Damned Lies and Statistics (Best, 2001) have raised questions about whether statistics can be trusted. A number of educated people today, ...
The advent of technologies to probe DNA copy number genome-wide has led to rapid progress in the understanding of how segments of the genome can vary in copy number between individuals 1,2. In ...
This is a preview. Log in through your library . Abstract In recent years various structures have been proposed for estimating intensity of consumer preference in consumer surveys. Empirical studies ...
A test of statistical significance addresses the question, How likely is a result, assuming the null hypotheses to be true. Randomness, a central assumption underlying commonly used tests of ...
In Part 1 of this ChipCenter feature article, we looked back in time and traced some events that led to the adoption of statistical process control (SPC). However, the implementation of a robust SPC ...
Statistics is to science as steroids are to baseball. Addictive poison. But at least baseball has attempted to remedy the problem. Science remains mostly in denial. True, not all uses of statistics in ...
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