By Daniel L. Schacter
Publish 12 months note: First released 1996
The mysteries of reminiscence are eventually yielding to dramatic, even innovative, medical breakthroughs. Drawing on his personal state-of-the-art study and that of alternative cognitive, scientific, and neuroscientists, Schacter explains how and why this study might swap our realizing of every thing from fake reminiscence to Alzheimer's sickness, from recovered reminiscence to amnesia.
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Additional info for Searching For Memory: The Brain, The Mind, And The Past
048, based Probability Theory: Background and Bayes’ Theorem 23 on the frequency value of 15 for the cell (+FOBT, +CC), and the +FOBT row sum of 314. 003. 003. )2 Many day-to-day contexts are faced where our decisions might best be made from conditional probabilities, if we knew them, instead of from marginal information. When deciding on a particular medical course of action, for example, it is important to condition on our own circumstances of age, risk factors, family medical history, and our own psychological needs and makeup.
But now modern treatments have seemingly thrown the earlier practice into a cocked hat. But then, scarcely a week after the Norwegian study was published, the journal Cancer published another study, by Swedish researchers, that purported to show that women in their forties whose cancer was detected early by mammogram had a 26% lower death rate than women whose cancers were not detected early. This confusing result just added inertia to the status quo. This is unfortunate, because the Swedish study was marred by a methodological error that invalidates its results.
In 1710, John Arbuthnot’s “Argument for Divine Providence” used Graunt’s data to illustrate how to do formal hypothesis testing. In the same century, Adrian Marie Legendre (1752–1833) used least squares to do astronomical calculations in the face of the uncertainty inherent in such measurements (Legendre, 1805); also, in that golden age of science, Pierre Laplace (1749–1827), Abraham De Moivre (1667–1754), and Jacob Bernoulli (1634–1705), among many others, were developing and using the tools that to7 8 A Statistical Guide for the Ethically Perplexed day help us measure, understand, and control uncertainty.
Searching For Memory: The Brain, The Mind, And The Past by Daniel L. Schacter