An Official Journal of the Institute of Mathematical Statistics.
Volume 7, Number 1
Publication Date: March 2013
Frontmatter
Table of Contents
Editorial Board
Articles
Variance function estimation in quantitative mass spectrometry with application to iTRAQ labeling
Micha Mandel, Manor Askenazi, Yi Zhang and Jarrod A. Marto; 1-24
Stronger instruments via integer programming in an observational study of late preterm birth outcomes
José R. Zubizarreta, Dylan S. Small, Neera K. Goyal, Scott Lorch and Paul R. Rosenbaum; 25-50
Variable selection and sensitivity analysis using dynamic trees, with an application to computer code performance tuning
Robert B. Gramacy, Matt Taddy and Stefan M. Wild; 51-80
Geostatistical modeling in the presence of interaction between the measuring instruments, with an application to the estimation of spatial market potentials
Francesco Finazzi; 81-101
Varying coefficient model for modeling diffusion tensors along white matter tracts
Ying Yuan, Hongtu Zhu, Martin Styner, John H. Gilmore and J. S. Marron; 102-125
Bayesian analysis of dynamic item response models in educational testing
Xiaojing Wang, James O. Berger and Donald S. Burdick; 126-153
Modeling temporal gradients in regionally aggregated California asthma hospitalization data
Harrison Quick, Sudipto Banerjee and Bradley P. Carlin; 154-176
Clustering for multivariate continuous and discrete longitudinal data
Arnošt Komárek and Lenka Komárková; 177-200
Local tests for identifying anisotropic diffusion areas in human brain with DTI
Tao Yu, Chunming Zhang, Andrew L. Alexander and Richard J. Davidson; 201-225
Sparse least trimmed squares regression for analyzing high-dimensional large data sets
Andreas Alfons, Christophe Croux and Sarah Gelper; 226-248
Robust partial likelihood approach for detecting imprinting and maternal effects using case-control families
Jingyuan Yang and Shili Lin; 249-268
Sparse integrative clustering of multiple omics data sets
Ronglai Shen, Sijian Wang and Qianxing Mo; 269-294
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
Winston Lin; 295-318
Robust VIF regression with application to variable selection in large data sets
Debbie J. Dupuis and Maria-Pia Victoria-Feser; 319-341
Incorporating external information in analyses of clinical trials with binary outcomes
Minge Xie, Regina Y. Liu, C. V. Damaraju and William H. Olson; 342-368
Efficient computation with a linear mixed model on large-scale data sets with applications to genetic studies
Matti Pirinen, Peter Donnelly and Chris C. A. Spencer; 369-390
Bootstrap inference for network construction with an application to a breast cancer microarray study
Shuang Li, Li Hsu, Jie Peng and Pei Wang; 391-417
Variable selection for sparse Dirichlet-multinomial regression with an application to microbiome data analysis
Jun Chen and Hongzhe Li; 418-442
Estimating treatment effect heterogeneity in randomized program evaluation
Kosuke Imai and Marc Ratkovic; 443-470
Multiple testing of local maxima for detection of peaks in ChIP-Seq data
Armin Schwartzman, Andrew Jaffe, Yulia Gavrilov and Clifford A. Meyer; 471-494
Regression trees for longitudinal and multiresponse data
Wei-Yin Loh and Wei Zheng; 495-522
Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
Eric F. Lock, Katherine A. Hoadley, J. S. Marron and Andrew B. Nobel; 523-542
Bayesian semiparametric analysis for two-phase studies of gene-environment interaction
Jaeil Ahn, Bhramar Mukherjee, Stephen B. Gruber and Malay Ghosh; 543-569
Canonical correlation analysis between time series and static outcomes, with application to the spectral analysis of heart rate variability
Robert T. Krafty and Martica Hall; 570-587
Daily minimum and maximum temperature simulation over complex terrain
William Kleiber, Richard W. Katz and Balaji Rajagopalan; 588-612
The Annals of Applied Statistics
