1. Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box Su, Yu-Sung; Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2011 Articles Statistics
2. Why we (usually) don't have to worry about multiple comparison Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2009 Reports Statistics
3. Why we (usually) don't have to worry about multiple comparisons Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2009 Articles StatisticsBayesian statistical decision theoryMultilevel models (Statistics)Statistical hypothesis testing
4. Why we (usually) don't have to worry about multiple comparisons Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2009 Presentations (Communicative Events) Statistics
5. Why we (usually) don't have to worry about multiple comparisons Gelman, Andrew E.; Hill, Jennifer; Yajima, Masanao 2007 Presentations (Communicative Events) Statistics
6. Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data Hill, Jennifer 2004 Reports Social sciences--ResearchStatistics