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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Full text (MCPHS users only) |
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| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, N.J. :
Wiley,
2010
|
| Series: | Wiley series in probability and statistics.
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
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| 100 | 1 | |a Weisberg, Herbert I., |d 1944- |1 https://id.oclc.org/worldcat/entity/E39PCjtKfrGb8GXyhxpX643gmm | |
| 245 | 1 | 0 | |a Bias and causation : |b models and judgment for valid comparisons / |c Herbert I. Weisberg. |
| 260 | |a Hoboken, N.J. : |b Wiley, |c ©2010. | ||
| 300 | |a 1 online resource (xv, 348 pages) : |b illustrations | ||
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| 337 | |a computer |b c |2 rdamedia | ||
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| 490 | 1 | |a Wiley series in probability and statistics | |
| 504 | |a Includes bibliographical references (pages 321-339) and index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Discriminant analysis. | |
| 650 | 0 | |a Paired comparisons (Statistics) | |
| 650 | 0 | |a Causation. | |
| 650 | 0 | |a Statistics. | |
| 650 | 1 | 2 | |a Discriminant Analysis |
| 650 | 1 | 2 | |a Matched-Pair Analysis |
| 650 | 2 | 2 | |a Selection Bias |
| 650 | 2 | 2 | |a Causality |
| 650 | 2 | 2 | |a Research Design |
| 650 | 2 | 2 | |a Statistics as Topic |
| 650 | 7 | |a statistics. |2 aat | |
| 758 | |i has work: |a Bias and causation (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGYgYbD46gDfFkJYCKjgXb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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