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• The twentieth-century reversal: How did the Republican states switch to the Democrats and vice versa? (Andrew Gelman)

• Retrospective design analysis using external information. (Andrew Gelman and John Carlin)

• Understanding predictive information criteria for Bayesian models. (Andrew Gelman, Jessica Hwang, and Aki Vehtari)

• When do stories work? Evidence and illustration in the social sciences. (Andrew Gelman and Thomas Basb\oll)

• Understanding posterior p-values. (Andrew Gelman)

• Simulation-efficient shortest probability intervals. (Ying Liu, Andrew Gelman, and Tian Zheng)

• Weighting adjustments for panel nonresponse. (Qixuan Chen, Andrew Gelman, Melissa Tracy, Fran H. Norris, and Sandro Galea)

• In praise of the referee. (Nicolas Chopin, Andrew Gelman, Kerrie Mengersen, and Christian Robert)

• Analytical and graphical methods for understanding hierarchical models with an application to estimating state trends in death penalty public opinion. (Kenny Shirley and Andrew Gelman)

• Visualizing distributions of covariance matrices. (Tomoki Tokuda, Ben Goodrich, Iven Van Mechelen, Andrew Gelman, and Francis Tuerlinckx)

• On the stationary distribution of iterative imputations. (Jingchen Liu, Andrew Gelman, Jennifer Hill, and Yu-Sung Su)

• ``How many zombies do you know?'': Using indirect survey methods to measure alien attacks and outbreaks of the undead. (Andrew Gelman)

• Thoughts on new statistical procedures for age-period-cohort analyses. (Andrew Gelman)

• Protecting minorities in binary elections: A test of storable votes using field data. (Alessandra Casella, Shuky Ehrenberg, Andrew Gelman, and Jie Shen)

• One vote, many Mexicos: income and vote choice in the 1994, 2000, and 2006 presidential elections. (Jeronimo Cortina, Andrew Gelman, and Narayani Lasala)

• Fitting multilevel models when predictors and group effects correlate. (Joseph Bafumi and Andrew Gelman)

• Fully Bayesian computing. (Jouni Kerman and Andrew Gelman)

• Sampling for Bayesian computation with large datasets. (Zaiying Huang and Andrew Gelman)

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