J
Jeremy Freese
Researcher at Stanford University
Publications - 115
Citations - 15229
Jeremy Freese is an academic researcher from Stanford University. The author has contributed to research in topics: Educational attainment & Population. The author has an hindex of 37, co-authored 110 publications receiving 13055 citations. Previous affiliations of Jeremy Freese include Indiana University & Harvard University.
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Regression Models for Categorical Dependent Variables Using Stata
J. Scott Long,Jeremy Freese +1 more
TL;DR: In this article, the authors present a brief tutorial for estimating, testing, fit, and interpretation of ordinal and binary outcomes using Stata. But they do not discuss how to apply these models to other estimation commands, such as post-estimation analysis.
Journal ArticleDOI
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
James J. Lee,Robbee Wedow,Aysu Okbay,Edward Kong,Omeed Maghzian,Meghan Zacher,Tuan Anh Nguyen-Viet,Peter Bowers,Julia Sidorenko,Julia Sidorenko,Richard Karlsson Linnér,Richard Karlsson Linnér,Mark Alan Fontana,Mark Alan Fontana,Tushar Kundu,Chanwook Lee,Hui Li,Ruoxi Li,Rebecca Royer,Pascal Timshel,Pascal Timshel,Raymond K. Walters,Raymond K. Walters,Emily A. Willoughby,Loic Yengo,Maris Alver,Yanchun Bao,David W. Clark,Felix R. Day,Nicholas A. Furlotte,Peter K. Joshi,Peter K. Joshi,Kathryn E. Kemper,Aaron Kleinman,Claudia Langenberg,Reedik Mägi,Joey W. Trampush,Shefali S. Verma,Yang Wu,Max Lam,Jing Hua Zhao,Zhili Zheng,Zhili Zheng,Jason D. Boardman,Harry Campbell,Jeremy Freese,Kathleen Mullan Harris,Caroline Hayward,Pamela Herd,Pamela Herd,Meena Kumari,Todd Lencz,Todd Lencz,Jian'an Luan,Anil K. Malhotra,Anil K. Malhotra,Andres Metspalu,Lili Milani,Ken K. Ong,John R. B. Perry,David J. Porteous,Marylyn D. Ritchie,Melissa C. Smart,Blair H. Smith,Joyce Y. Tung,Nicholas J. Wareham,James F. Wilson,Jonathan P. Beauchamp,Dalton Conley,Tõnu Esko,Steven F. Lehrer,Steven F. Lehrer,Steven F. Lehrer,Patrik K. E. Magnusson,Sven Oskarsson,Tune H. Pers,Tune H. Pers,Matthew R. Robinson,Matthew R. Robinson,Kevin Thom,Chelsea Watson,Christopher F. Chabris,Michelle N. Meyer,David Laibson,Jian Yang,Magnus Johannesson,Philipp Koellinger,Philipp Koellinger,Patrick Turley,Patrick Turley,Peter M. Visscher,Daniel J. Benjamin,Daniel J. Benjamin,David Cesarini,David Cesarini +94 more
TL;DR: A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance ineducational attainment and 7–10% ofthe variance in cognitive performance, which substantially increases the utility ofpolygenic scores as tools in research.
Journal ArticleDOI
Promoting an open research culture
Brian A. Nosek,George Alter,George C. Banks,Denny Borsboom,Sara Bowman,Steven J. Breckler,Stuart Buck,Christopher D. Chambers,G. Chin,Garret Christensen,M. Contestabile,Allan Dafoe,E. Eich,Jeremy Freese,Rachel Glennerster,D. Goroff,Donald P. Green,Bradford W. Hesse,Macartan Humphreys,John Ishiyama,Dean Karlan,A. Kraut,Arthur Lupia,Patricia L. Mabry,Temina Madon,Neil Malhotra,Evan Mayo-Wilson,Marcia McNutt,Edward Miguel,E. Levy Paluck,Uri Simonsohn,Courtney K. Soderberg,Barbara A. Spellman,J. Turitto,G. VandenBos,Simine Vazire,Eric-Jan Wagenmakers,Rick K. Wilson,Tal Yarkoni +38 more
TL;DR: A growing body of evidence suggests that transparency, openness, and reproducibility are vital features of science as discussed by the authors, and most scientists embrace these features as disciplinary norms and values when asked, therefore, one might expect that these valued features would be routine in daily practice.
Journal ArticleDOI
The Generalizability of Survey Experiments
TL;DR: This paper conducted two studies of how experimental treatment effects obtained from convenience samples compare to effects produced by population samples and concluded that the utility of convenience samples can be justified by the similarity of treatment effects between convenience and nationally representative population-based samples.
Journal ArticleDOI
The Demographic and Political Composition of Mechanical Turk Samples
TL;DR: This article investigated the extent to which MTurk samples differ from population samples, and the underlying nature of these differences by replicating items from the population-based American National Election Studies (ANES) 2012 Time Series Study in a survey administered to a sample of mTurk respondents.