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Author Weisberg, Herbert I., 1944-

Title Bias and causation : models and judgment for valid comparisons / Herbert I. Weisberg
Published Hoboken, N.J. : Wiley, [2010]
Online access available from:
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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.
Matched-Pair Analysis.
Research Design.
Selection Bias.
Statistics as Topic.
Discriminant analysis.
Paired comparisons (Statistics)
Form Electronic book
ISBN 0470631090 (electronic bk.)
0470631104 (electronic bk.)
1118058208 (electronic bk.)
9780470631096 (electronic bk.)
9780470631102 (electronic bk.)
9781118058206 (electronic bk.)