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Bias and causation : models and judgment for valid comparisons /

A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects. Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Weisberg, Herbert I., 1944-
Format: Électronique eBook
Langue:Inglés
Publié: Hoboken, N.J. : Wiley, ©2010.
Collection:Wiley series in probability and statistics.
Sujets:
Accès en ligne:Texto completo
Texto completo

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