D
Dustin Tingley
Researcher at Harvard University
Publications - 146
Citations - 17940
Dustin Tingley is an academic researcher from Harvard University. The author has contributed to research in topics: Politics & Foreign policy. The author has an hindex of 43, co-authored 142 publications receiving 13700 citations. Previous affiliations of Dustin Tingley include University of Chicago & Princeton University.
Papers
More filters
Journal ArticleDOI
mediation: R Package for Causal Mediation Analysis
TL;DR: The mediation package implements a comprehensive suite of statistical tools for conducting causal mediation analysis in applied empirical research and implements a statistical method for dealing with multiple (causally dependent) mediators, which are often encountered in practice.
Journal ArticleDOI
A general approach to causal mediation analysis.
TL;DR: The approach is general because it offers the definition, identification, estimation, and sensitivity analysis of causal mediation effects without reference to any specific statistical model and can accommodate linear and nonlinear relationships, parametric and nonparametric models, continuous and discrete mediators, and various types of outcome variables.
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
Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies
TL;DR: This work presents a minimum set of assumptions required under standard designs of experimental and observational studies and develops a general algorithm for estimating causal mediation effects and provides a method for assessing the sensitivity of conclusions to potential violations of a key assumption.