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Statistical Guide for the Ethically Perplexed

Lawrence Hubert | Howard Wainer
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A01=Howard Wainer
A01=Lawrence Hubert
american
American Psychiatric Association
and biomedical sciences
appendix
Argumentum Ad Ignorantiam
association
Author_Howard Wainer
Author_Lawrence Hubert
Baldus Study
behavioral science statistics
Benford's Law
Benford’s Law
biomedical data analysis
breast cancer screening
Carrie Buck
Category=GPS
Category=JMB
Category=PBC
Category=PBT
Category=PDR
Childbed Fever
Coronary Drug Project
correlation
cross-validation
Data Quality Act
death
difficulties with observational studies
DNA Database
DNA Evidence
Ecological Fallacy
Ephedrine Alkaloids
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
eq_society-politics
ethical decision making
ethics and statistics
ethics in human experiments
experimental design methods
health statistics
Healthy User Bias
Hormone Replacement Therapy
illusory
Mantle Cell Lymphoma
Medical Research Involving Human Subjects
National Academy
Observed Score
paradox
penalty
probabilistic and statistical reasoning in the behavioral
probabilistic reasoning
Prosecutor's Fallacy
Prosecutor’s Fallacy
psychometrics
Puerperal Fever
regulatory issues in medicine
risk and gambling
Roc Curve
Shingles Vaccine
simpson's
Simpson's Paradox
Simpson’s Paradox
social
social science research
specific and general causation
State Colony
statistical and probabilistic paradoxes and fallacies
statistical ethics in court cases
statistical reasoning and analyses
supplements
the role of statistics in reasoning and decision making
True Score
U.S. federal court decisions and statistical reasoning

Product details

  • ISBN 9781439873687
  • Weight: 816g
  • Dimensions: 156 x 234mm
  • Publication Date: 25 Sep 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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Description
Exploring the intersection of ethics and statistics, this comprehensive guide illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers' day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. In addition, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation.
About Howard Wainer | Lawrence Hubert

Lawrence Hubert is the Lyle H. Lanier Professor of Psychology and a professor of statistics and educational psychology at the University of Illinois. He is a fellow of the American Statistical Association, American Psychological Association, Association for Psychological Science, American Association for the Advancement of Science, and American Educational Research Association. Dr. Hubert has been a recipient of honors, including the Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring from Division 5 of the American Psychological Association. His research focuses on the development of exploratory methods for data representation in the behavioral sciences, emphasizing cluster analysis, spatially oriented multidimensional scaling techniques, and network representation procedures.

Howard Wainer is a Distinguished Research Scientist at the National Board of Medical Examiners and adjunct professor of statistics at the Wharton School of the University of Pennsylvania. He is a fellow of the American Statistical Association and American Educational Research Association. Dr. Wainer has been a recipient of several honors, including the Samuel J. Messick Award for Distinguished Scientific Contributions Award from Division 5 of the American Psychological Association and the Career Achievement Award from the National Council on Measurement in Education. His research encompasses the use of graphical methods for data analysis and communication, robust statistical methodology, and the development and application of generalizations of item response theory.

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