Bias and causation : models and judgment for valid comparisons /

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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Weisberg, Herbert I., 1944-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, ©2010.
Colección:Wiley series in probability and statistics.
Temas:
Discriminant analysis.
Paired comparisons (Statistics)
Causation.
Statistics.
Discriminant Analysis
Matched-Pair Analysis
Selection Bias
Causality
Research Design
Statistics as Topic
Analyse discriminante.
Méthode des comparaisons par paires.
Causalité.
Statistiques.
MATHEMATICS > Probability & Statistics > Multivariate Analysis.
Bias.
Paarsgewijze vergelijkingen.
Causaliteit.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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