Statistical Computing and Graphics Let’s Practice What We Preach: Turning Tables into Graphs Andrew GELMAN, Cristian PASARICA , and Rahul DODHIA Statisticians recommend graphical displays but often use tables to presen

Source URL: www.stat.columbia.edu

• Charts
• Plot
• Matroid theory
• Microsoft Excel
• Pie chart
• Regression analysis
• Cartesian coordinate system
• Information graphics
• Signed graph
• Graph theory
• Mathematics
• Statistics

The Difference between "Significant" and "Not Significant" Is Not Itself Statistically Significant Author(s): Andrew Gelman and Hal Stern Reviewed work(s): Source: The American Statistician, Vol. 60, No. 4 (Nov., 2006),

Source URL: datacolada.org

• Statistical significance
• Effect size
• P-value
• Null hypothesis
• Confidence interval
• F-test
• Standard error
• Statistical power
• Clinical significance
• Statistics
• Hypothesis testing
• Statistical hypothesis testing

[Ethics and Statistics] Andrew Gelman Column Editor The AAA Tranche of Subprime Science

Source URL: stat.columbia.edu

• Knowledge
• Statistical hypothesis testing
• Scientific method
• Peer review
• Publication bias
• Scientific misconduct
• Uncertainty
• Psychology
• Statistical power
• Statistics
• Science
• Hypothesis testing

Why High-Order Polynomials Should Not be Used in Regression Discontinuity Designs∗ Andrew Gelman† Guido Imbens‡

Source URL: www.stat.columbia.edu

• Linear regression
• Local regression
• Regression discontinuity design
• Estimator
• Quadratic polynomial
• Errors and residuals in statistics
• Polynomial
• M-estimator
• Estimation theory
• Statistics
• Regression analysis
• Polynomial regression

Discussion Article Rejoinder Andrew GELMAN I appreciate Buja’s generous comments and will briefly clarify some issues regarding the role of data visualization in model checking, and the relevance of Bayesian inference

Source URL: stat.wharton.upenn.edu

• Statistical inference
• Statistical theory
• Data analysis
• Scientific method
• Mixture model
• Graphical model
• Bayesian inference
• Regression analysis
• Quasi-likelihood
• Statistics
• Bayesian statistics
• Statistical models

Discussion Article Exploratory Data Analysis for Complex Models Andrew GELMAN “Exploratory” and “confirmatory” data analysis can both be viewed as methods for

Source URL: stat.wharton.upenn.edu

• Econometrics
• Regression analysis
• Estimation theory
• Exploratory data analysis
• Statistical model
• Linear regression
• Maximum likelihood
• Mixture model
• Statistical graphics
• Statistics
• Statistical theory
• Data analysis

Ac#ve  Learning  in  Sta#s#cs  Classes   Andrew  Gelman   Dept  of  Sta#s#cs  and  Dept  of  Poli#cal  Science   Columbia  University,  New  York    

Source URL: www.sociology.ox.ac.uk

Fully Bayesian Computing Jouni Kerman Andrew Gelman Department of Statistics

Source URL: www.stat.columbia.edu

• Data analysis
• Algebra of random variables
• Econometrics
• Multivariate normal distribution
• Multivariate random variable
• Linear regression
• Normal distribution
• Random variable
• Variance
• Statistics
• Probability theory
• Regression analysis

Rich state, poor state, red state, blue state: What’s the matter with Connecticut?∗ Andrew Gelman†, Boris Shor‡, Joseph Bafumi§, David Park¶ September 17, 2007 Abstract

Source URL: www.stat.columbia.edu

• Red states and blue states
• Rivalry
• Republican Party
• Democratic Party
• United States presidential election
• Economic inequality
• Politics of Virginia
• Political parties in the United States
• Politics of the United States
• Elections in the United States

[Ethics and Statistics] Andrew Gelman Column Editor It’s Too Hard to Publish Criticisms and Obtain Data

Source URL: www.stat.columbia.edu

• Academic publishing
• Scientific method
• Charles Sanders Peirce
• Scientific revolution
• Psychology
• Peer review
• Nassim Nicholas Taleb
• Survivorship bias
• Retraction
• Science
• Knowledge
• Ethology