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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken, N.J. :
Wiley,
©2010.
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Colección: | Wiley series in probability and statistics.
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Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |