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...
Saved in:
| Online Access: |
Full text (MCPHS users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley,
2010
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| Series: | Wiley series in probability and statistics.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
