Tyler H. McCormick

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Samuel J. ClarkThe Ohio State UniversityVerified email at osu.edu
Tian ZhengDepartment of Statistics & Data Science Institute, Columbia UniversityVerified email at stat.columbia.edu
Cynthia RudinProfessor of Computer Science, ECE, Statistics, and Biostatistics & Bioinformatics, Duke UniversityVerified email at cs.duke.edu
Zehang Richard LiUniversity of California, Santa CruzVerified email at ucsc.edu
David MadiganProfessor of Statistics, Northeastern UniversityVerified email at northeastern.edu
Andrew GelmanProfessor of Statistics and Political Science, Columbia UniversityVerified email at stat.columbia.edu
julien teitlercolumbia universityVerified email at columbia.edu
Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonVerified email at uw.edu
Arun G. ChandrasekharAssistant Professor of Economics, Stanford UniversityVerified email at stanford.edu
Mengjie PanPh.D graduate, University of WashingtonVerified email at washington.edu
Bailey K. FosdickAssociate Professor of Biostatistics and Informatics, Colorado School of Public HealthVerified email at cuanschutz.edu
Emily BrezaHarvard UniversityVerified email at fas.harvard.edu
Seyda ErtekinAssociate Professor @ ODTU and Computer Scientist & Researcher @ MITVerified email at metu.edu.tr
Ted WestlingAssistant Professor, University of Massachusetts AmherstVerified email at math.umass.edu
Jon WakefieldProfessor Statistics Biostatistics University of WashingtonVerified email at uw.edu
Jeff LeekChief Data Officer, VP, and J Orin Edson Foundation Professor, Fred Hutchinson Cancer CenterVerified email at fredhutch.org
Matthew J. SalganikDepartment of Sociology, Princeton UniversityVerified email at princeton.edu
Rachel HeathAssociate Professor of Economics, University of WashingtonVerified email at uw.edu
Christopher WildemanProfessor of Sociology, Duke UniversityVerified email at duke.edu
Michael Salter-TownshendAssistant Professor, University College DublinVerified email at ucd.ie

Tyler H. McCormick

University of Washington

Verified email at uw.edu - Homepage

statistics data science Bayesian modeling social networks global health


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Interpretable classifiers using rules and bayesian analysis: Building a better stroke prediction model B Letham, C Rudin, TH McCormick, D Madigan	834	2015
Segregation in social networks based on acquaintanceship and trust TA DiPrete, A Gelman, T McCormick, J Teitler, T Zheng American journal of sociology 116 (4), 1234-1283, 2011	323	2011
Using Twitter for demographic and social science research: Tools for data collection and processing TH McCormick, H Lee, N Cesare, A Shojaie, ES Spiro Sociological methods & research 46 (3), 390-421, 2017	266	2017
How many people do you know?: Efficiently estimating personal network size TH McCormick, MJ Salganik, T Zheng Journal of the American Statistical Association 105 (489), 59-70, 2010	226	2010
Racial inequalities in connectedness to imprisoned individuals in the United States H Lee, T McCormick, MT Hicken, C Wildeman Du Bois Review: Social Science Research on Race 12 (2), 269-282, 2015	165	2015
# Proana: Pro-eating disorder socialization on Twitter A Arseniev-Koehler, H Lee, T McCormick, MA Moreno Journal of Adolescent Health 58 (6), 659-664, 2016	148	2016
Promises and pitfalls of using digital traces for demographic research N Cesare, H Lee, T McCormick, E Spiro, E Zagheni Demography 55 (5), 1979-1999, 2018	129	2018
Using aggregated relational data to feasibly identify network structure without network data E Breza, AG Chandrasekhar, TH McCormick, M Pan American Economic Review 110 (8), 2454-2484, 2020	121	2020
Probabilistic cause-of-death assignment using verbal autopsies TH McCormick, ZR Li, C Calvert, AC Crampin, K Kahn, SJ Clark Journal of the American Statistical Association 111 (515), 1036-1049, 2016	101	2016
Dynamic logistic regression and dynamic model averaging for binary classification TH McCormick, AE Raftery, D Madigan, RS Burd Biometrics 68 (1), 23-30, 2012	101	2012
Bayesian hierarchical rule modeling for predicting medical conditions TH McCormick, C Rudin, D Madigan	95*	2012
Reactive point processes: A new approach to predicting power failures in underground electrical systems Ş Ertekin, C Rudin, TH McCormick	71	2015
Estimating population size using the network scale up method R Maltiel, AE Raftery, TH McCormick, AJ Baraff The annals of applied statistics 9 (3), 1247, 2015	67	2015
Latent space models for multiview network data M Salter-Townshend, TH McCormick The annals of applied statistics 11 (3), 1217, 2017	60	2017
Latent surface models for networks using aggregated relational data TH McCormick, T Zheng Journal of the American Statistical Association 110 (512), 1684-1695, 2015	59	2015
Estimating uncertainty in respondent-driven sampling using a tree bootstrap method AJ Baraff, TH McCormick, AE Raftery Proceedings of the National Academy of Sciences 113 (51), 14668-14673, 2016	48	2016
An interpretable stroke prediction model using rules and Bayesian analysis B Letham, C Rudin, TH McCormick, D Madigan	47	2013
Building interpretable classifiers with rules using Bayesian analysis B Letham, C Rudin, TH McCormick, D Madigan Department of Statistics Technical Report tr609, University of Washington 9 …, 2012	45	2012
Clustering South African households based on their asset status using latent variable models D McParland, IC Gormley, TH McCormick, SJ Clark, CW Kabudula, ... The annals of applied statistics 8 (2), 747, 2014	43	2014
Discovery with data: Leveraging statistics with computer science to transform science and society C Rudin, D Dunson, R Irizarry, H Ji, E Laber, J Leek, T McCormick, ... American Statistical Association White Paper, 2014	41	2014

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