Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies.
Dan L. Nicolae, Xiao-Li Meng, Augustine Kong
págs. 287-312
Comment: Quantifying Information Loss in Survival Studies.
Hani Doss
págs. 313-317
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies.
I-Shou Chang, Chung-Hsing Chen, Li-Chu Chien, Chao A. Hsiung
págs. 318-320
Tian Zheng, Shaw-Hwa Lo
págs. 321-324
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies.
págs. 325-331
Compatibility of Prior Specifications Across Linear Models.
Guido Consonni, Piero Veronese
págs. 332-353
The Banff Challenge: Statistical Detection of a Noisy Signal.
Anthony C. Davison, N. Sartori
págs. 354-364
Stochastic Approximation and Newton's Estimate of a Mixing Distribution
Ryan R. Martin, Jayanta K. Ghosh
págs. 365-382
Multiway Spectral Clustering: A Margin-Based Perspective.
Zhihua Zhang, Michael I. Jordan
págs. 383-403
Handling Covariates in the Design of Clinical Trials.
William F. Rosenberger, Oleksandr Sverdlov
págs. 404-419
A Conversation with Myles Hollander.
Francisco J. Samaniego
págs. 420-438
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