Statistical Inference as Severe Testing

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Statistical Inference as Severe Testing

How to Get Beyond the Statistics Wars

Probability and statistics Philosophy of science

Author: Deborah G. Mayo

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Language: English

Published by: Cambridge University Press

Published on: 20th September 2018

Format: LCP-protected ePub

Size: 5 Mb

ISBN: 9781108563307


Mounting failures of replication in social and biological sciences

This gives a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science.

Views of the role of probability in inference

It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.).

A simple tool for testing claims

The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting.

Philosophy and history of inductive inference

Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.

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