The Resource Bias and Causation: : Models and Judgment for Valid Comparisons, Weisberg, Herbert, (electronic resource)

Bias and Causation: : Models and Judgment for Valid Comparisons, Weisberg, Herbert, (electronic resource)

Label
Bias and Causation: : Models and Judgment for Valid Comparisons
Title
Bias and Causation:
Title remainder
Models and Judgment for Valid Comparisons
Statement of responsibility
Weisberg, Herbert
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
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 presents a complete treatment of the subject, organizing and clarifying the diverse types of biases into a conceptual framework. The book treats various sources of bias in comparative studies—both randomized and observational—and offers guidance on how they should be addressed by researchers. Utilizing a relatively simple mathematical approach, the author develops a theory of bias that outlines the essential nature of the problem and identifies the various sources of bias that are encountered in modern research. The book begins with an introduction to the study of causal inference and the related concepts and terminology. Next, an overview is provided of the methodological issues at the core of the difficulties posed by bias. Subsequent chapters explain the concepts of selection bias, confounding, intermediate causal factors, and information bias along with the distortion of a causal effect that can result when the exposure and/or the outcome is measured with error. The book concludes with a new classification of twenty general sources of bias and practical advice on how mathematical modeling and expert judgment can be combined to achieve the most credible causal conclusions. Throughout the book, examples from the fields of medicine, public policy, and education are incorporated into the presentation of various topics. In addition, six detailed case studies illustrate concrete examples of the significance of biases in everyday research. Requiring only a basic understanding of statistics and probability theory, Bias and Causation is an excellent supplement for courses on research methods and applied statistics at the upper-undergraduate and graduate level. It is also a valuable reference for practicing researchers and methodologists in various fields of study who work with statistical data. This book was selected as the 2011 Ziegel Prize Winner in Technometric..
http://library.link/vocab/creatorName
Weisberg, Herbert
Nature of contents
standards specifications
http://library.link/vocab/relatedWorkOrContributorName
Safari, an O'Reilly Media Company
http://library.link/vocab/subjectName
  • Mathematics
  • Science
Label
Bias and Causation: : Models and Judgment for Valid Comparisons, Weisberg, Herbert, (electronic resource)
Link
https://www.safaribooksonline.com/library/view/-/9781118058206/?ar
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
348 p.
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
9781118058206
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
  • (Sirsi) a275779
  • (Safari)9781118058206
System details
Mode of access: World Wide Web
Label
Bias and Causation: : Models and Judgment for Valid Comparisons, Weisberg, Herbert, (electronic resource)
Link
https://www.safaribooksonline.com/library/view/-/9781118058206/?ar
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Dimensions
unknown
Edition
1st edition
Extent
348 p.
Form of item
online
Issuing body
Made available through: Safari, an O'Reilly Media Company.
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
9781118058206
Reproduction note
Electronic reproduction.
Specific material designation
remote
System control number
  • (Sirsi) a275779
  • (Safari)9781118058206
System details
Mode of access: World Wide Web

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