| Description |
1 online resource (xv, 348 pages) : illustrations |
| Contents |
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 |
| 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 |
| Bibliography |
Includes bibliographical references (pages 321-339) and index |
| Notes |
Print version record |
| Subject |
Discriminant Analysis.
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Matched-Pair Analysis.
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Causality.
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Research Design.
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Selection Bias.
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Statistics as Topic.
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Discriminant analysis.
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Paired comparisons (Statistics)
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| Form |
Electronic book
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| ISBN |
0470631090 (electronic bk.) |
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0470631104 (electronic bk.) |
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1118058208 (electronic bk.) |
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9780470631096 (electronic bk.) |
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9780470631102 (electronic bk.) |
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9781118058206 (electronic bk.) |
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(cloth) |
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(cloth) |
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