R
Richard A. Berk
Researcher at University of Pennsylvania
Publications - 298
Citations - 17326
Richard A. Berk is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Poison control & Statistical inference. The author has an hindex of 58, co-authored 293 publications receiving 15288 citations. Previous affiliations of Richard A. Berk include RAND Corporation & Social Science Research Council.
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Journal ArticleDOI
Redefine statistical significance
Daniel J. Benjamin,James O. Berger,Magnus Johannesson,Magnus Johannesson,Brian A. Nosek,Brian A. Nosek,Eric-Jan Wagenmakers,Richard A. Berk,Kenneth A. Bollen,Björn Brembs,Lawrence D. Brown,Colin F. Camerer,David Cesarini,David Cesarini,Christopher D. Chambers,Merlise A. Clyde,Thomas D. Cook,Thomas D. Cook,Paul De Boeck,Zoltan Dienes,Anna Dreber,Kenny Easwaran,Charles Efferson,Ernst Fehr,Fiona Fidler,Andy P. Field,Malcolm R. Forster,Edward I. George,Richard Gonzalez,Steven N. Goodman,Edwin J. Green,Donald P. Green,Anthony G. Greenwald,Jarrod D. Hadfield,Larry V. Hedges,Leonhard Held,Teck-Hua Ho,Herbert Hoijtink,Daniel J. Hruschka,Kosuke Imai,Guido W. Imbens,John P. A. Ioannidis,Minjeong Jeon,James Holland Jones,Michael Kirchler,David Laibson,John A. List,Roderick J. A. Little,Arthur Lupia,Edouard Machery,Scott E. Maxwell,Michael A. McCarthy,Don A. Moore,Stephen L. Morgan,Marcus R. Munafò,Shinichi Nakagawa,Brendan Nyhan,Timothy H. Parker,Luis R. Pericchi,Marco Perugini,Jeffrey N. Rouder,Judith Rousseau,Victoria Savalei,Felix D. Schönbrodt,Thomas Sellke,Betsy Sinclair,Dustin Tingley,Trisha Van Zandt,Simine Vazire,Duncan J. Watts,Christopher Winship,Robert L. Wolpert,Yu Xie,Cristobal Young,Jonathan Zinman,Valen E. Johnson,Valen E. Johnson +76 more
TL;DR: The default P-value threshold for statistical significance is proposed to be changed from 0.05 to 0.005 for claims of new discoveries in order to reduce uncertainty in the number of discoveries.
Posted Content
Redefine Statistical Significance
Daniel J. Benjamin,James O. Berger,Magnus Johannesson,Brian A. Nosek,Eric-Jan Wagenmakers,Richard A. Berk,Kenneth A. Bollen,Björn Brembs,Lawrence D. Brown,Colin F. Camerer,David Cesarini,Christopher D. Chambers,Merlise A. Clyde,Thomas D. Cook,Paul De Boeck,Zoltan Dienes,Anna Dreber,Kenny Easwaran,Charles Efferson,Ernst Fehr,Fiona Fidler,Andy P. Field,Malcom Forster,Edward I. George,Tarun Ramadorai,Richard Gonzalez,Steven N. Goodman,Edwin J. Green,Donald P. Green,Anthony G. Greenwald,Jarrod D. Hadfield,Larry V. Hedges,Leonhard Held,Teck Hau Ho,Herbert Hoijtink,James Holland Jones,Daniel J. Hruschka,Kosuke Imai,Guido W. Imbens,John P. A. Ioannidis,Minjeong Jeon,Michael Kirchler,David Laibson,John A. List,Roderick J. A. Little,Arthur Lupia,Edouard Machery,Scott E. Maxwell,Michael A. McCarthy,Don A. Moore,Stephen L. Morgan,Marcus R. Munafò,Shinichi Nakagawa,Brendan Nyhan,Timothy H. Parker,Luis R. Pericchi,Marco Perugini,Jeffrey N. Rouder,Judith Rousseau,Victoria Savalei,Felix D. Schönbrodt,Thomas Sellke,Betsy Sinclair,Dustin Tingley,Trisha Van Zandt,Simine Vazire,Duncan J. Watts,Christopher Winship,Robert L. Wolpert,Yu Xie,Cristobal Young,Jonathan Zinman,Valen E. Johnson +72 more
TL;DR: This article proposed to change the default P-value threshold for statistical significance for claims of new discoveries from 0.05 to 0.005, which is the threshold used in this paper.
Journal ArticleDOI
An introduction to sample selection bias in sociological data.
TL;DR: White et al. as mentioned in this paper presented a critique and extencomsion of the blockmodeling approach and proposed a local blockmodel algebraic approach for roles and positions in networks of trade and economic interdependence.
Journal ArticleDOI
The specific deterrent effects of arrest for domestic assault.
TL;DR: The findings falsify a deviance amplification model of labeling theory beyond initial labeling, and fail to falsify the specific deterrence prediction for a group of offenders with a high percentage of prior histories of both domestic violence and other kinds of crime.
Journal ArticleDOI
Fairness in Criminal Justice Risk Assessments: The State of the Art
TL;DR: In this paper, a discussion of fairness in criminal justice risk assessments typically lacks conceptual precision. Rhetoric too often substitutes for careful analysis, and the authors seek to clarify this issue.