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Bias and causation; models and judgment for valid comparisons.


Bias and causation; models and judgment for valid comparisons.

Weisberg, Herbert I.

John Wiley & Sons


348 pages



Wiley series in probability and statistics


A consultant who specializes in applying statistics to various business and legal issues, Weisberg explains approaches to bias and causal inference, a realm statisticians have avoided until recently because it requires intuitive skills beyond the pale of mathematics. He writes for practicing researchers and methodologists and for students with a reasonably solid grounding in basic statistics and research methods. The mathematics are nothing special, he says, just the medium in which the concepts are manifested. His topics include causality and comparative studies, varieties of bias, confounding, intermediate causal factors, information bias, and contending with bias.

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Publication:SciTech Book News
Article Type:Book review
Date:Dec 1, 2010
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