1.8k citations · 1.9k across the 3 of their papers we have counts for
3 papers
stat.AP2013★ 82 cited
Assessing lack of common support in causal inference using Bayesian nonparametrics: Implications for evaluating the effect of breastfeeding on children's cognitive outcomes
Jennifer Hill, Yu-Sung Su
Causal inference in observational studies typically requires making comparisons between groups that are dissimilar. For instance, researchers investigating the role of a prolonged…
math.ST2010★ 2 cited
On the Stationary Distribution of Iterative Imputations
Jingchen Liu, Andrew Gelman, Jennifer Hill +1
Iterative imputation, in which variables are imputed one at a time each given a model predicting from all the others, is a popular technique that can be convenient and flexible, as…
stat.AP2009★ 1.8k cited
A weakly informative default prior distribution for logistic and other regression models
Andrew Gelman, Aleks Jakulin, Maria Grazia Pittau +1
We propose a new prior distribution for classical (nonhierarchical) logistic regression models, constructed by first scaling all nonbinary variables to have mean 0 and standard dev…