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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| Format: | eBook |
| Language: | English |
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Hoboken, N.J.
Wiley
2010
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| Series: | Wiley series in probability and statistics
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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 research across various fields of study. Some researchers are highly skeptical of drawing causal conclusions except in tightly controlled randomized experiments, while others discount the threats posed by different sources of bias, even in less rigorous observational studies. Bias and Causation pre |
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| Physical Description: | xv, 348 pages illustrations |
| ISBN: | 1118058208 0470631090 9781118058206 0470631104 9780470631102 9780470631096 |