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Andrew Gelman
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#	Item
111	Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Conclusions Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-04-02 17:32:49 Andrew Gelman Polarization Peter Killworth Statistics Economic inequality Information Science Data
112	Overview Background: how many people do you know? A model of overdispersion in social networks Fitting the model using the Gibbs/Metropolis sampler Results from fitting the model Confidence building Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-08-10 09:21:53 Econometrics Andrew Gelman Bayesian inference Overdispersion Confidence interval Peter Killworth Statistics Statistical inference Bayesian statistics
113	Introduction Individual, county, and state-level analyses Multilevel models of individuals within states Understanding the results A trip to Mexico Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2006-10-09 19:32:20 Statistical models Political science Psychology Multilevel model Statistics Andrew Gelman Behavioural sciences
114	Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Next Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2007-05-26 18:59:41 Andrew Gelman Peter Killworth Economic inequality Statistics Physics British people Broadcast engineering Electromagnetic radiation Polarization
115	Overview Graphical models and Bayesian data analysis Computing like a Bayesian BUGS and features Conclusion Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-08-08 13:47:20 Andrew Gelman Just another Gibbs sampler Statistics Bayesian statistics Graphical model
116	(1) Information aggregation—a statistical perspective (2) Distinctions between different scenarios of group decision-making Andrew Gelman, Roger Clemen, Roger Cooke, Jim Hammitt, David Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-06-21 13:38:27 Bias Econometrics Regression analysis Bias of an estimator Linear regression Statistics Statistical theory Estimation theory
117	State-level opinions from national polls Where do weights come from? Inference using survey weights and poststratification Theory of weighting and poststratification Where to go next? Unrelated topic: interactions in bef Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-10-18 11:08:14 Econometrics Andrew Gelman Evaluation methods Research methods Statistical methods Weighting Biostatistics Regression analysis Science Information Statistics
118	Biostatistics (2000), 1, 1, pp. 27–34 Printed in Great Britain Should we take measurements at an intermediate design point? ANDREW GELMAN Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-03-19 13:28:54 Econometrics Least squares Statistical inference Bayes estimator Mean squared error Linear regression Variance Normal distribution Estimator Statistics Estimation theory Regression analysis
119	Of beauty, sex, and power: Statistical challenges in estimating small effects Andrew Gelman1 Department of Statistics and Department of Political Science Columbia University Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-04-24 17:51:27 Regression analysis Andrew Gelman Gelman Statistical power Linear regression Satoshi Kanazawa Statistics Information Science
120	Effectiveness Ubiquity Way of life Fitting and understanding multilevel (hierarchical) models Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-11-30 22:07:57 Statistical models Econometrics Analysis of variance Statistical methods Andrew Gelman Multilevel model Regression analysis Economic model Statistics Information Science

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