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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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| Lenguaje: | eng |
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John Wiley & Sons Inc
2010
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| Acceso en línea: | http://cds.cern.ch/record/1315192 |