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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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Bibliographic Details
Main Author: Weisberg, Herbert I.
Format: eBook
Language:English
Published: Hoboken, N.J. Wiley 2010
Series:Wiley series in probability and statistics
Subjects:
Causation / Fast
Paired Comparisons (statistics) / Fast
Analyse Discriminante
Statistics As Topic
Paired Comparisons (statistics) / Http://id.loc.gov/authorities/subjects/sh85096859
Causalité
Paarsgewijze Vergelijkingen / Gtt
Causality
Causaliteit / Gtt
Méthode Des Comparaisons Par Paires
Causation / Http://id.loc.gov/authorities/subjects/sh85021459
Statistics / Http://id.loc.gov/authorities/subjects/sh85127580
Statistics / Fast
Discriminant Analysis / Fast
Statistics / Aat
Discriminant Analysis / Http://id.loc.gov/authorities/subjects/sh85038374
Statistique
Selection Bias
Discriminant Analysis
Bias / Gtt
Statistiques
Research Design
Matched-pair Analysis
Mathematics / Probability & Statistics / Multivariate Analysis / Bisacsh
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references (pages 321-339) and index
  • What is bias?
  • Causality and comparative studies
  • Estimating causal effects
  • Varieties of bias
  • Selection bias
  • Confounding : an enigma?
  • Confounding : essence, correction, and detection
  • Intermediate causal factors
  • Information bias
  • Sources of bias
  • Contending with bias
  • Glossary

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