Journal of the American Statistical Association Highlights
The September issue of the Journal of the American Statistical Association covers application topics ranging from models for text analysis to imaging genetics. Theory and Methods contributions include new statistical methods for longitudinal data, transformation models, mixture models, partial differential equation models, machine learning, and much more.
The March 2012 issue of the Journal of the American Statistical Association is the first for new Theory and Methods section editors Xuming He of the University of Michigan and Jun Liu of Harvard University. Their first issue contains the usual broad assortment of theory and methods contributions, affecting both study design and data analysis. The Applications and Case Studies section includes applications in education, environmental science, medicine, and public health.
The September issue of JASA features two articles presented and discussed at the 2011 Joint Statistical Meetings: “Adaptive Confidence Intervals for the Test Error in Classification,” by Eric Laber and Susan Murphy, and “Population Value Decomposition: A Framework for the Analysis of Image Populations,” by Ciprian Crainceanu, Brian Caffo, Sheng Luo, Vadim Zipunnkkov, and Naresh Punjabi.