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作者：Sun, Qiang; Zhu, Ruoqing; Wang, Tao; Zeng, Donglin
作者单位：University of Toronto; University of Illinois System; University of Illinois Urbana-Champaign; Shanghai Jiao Tong University; University of North Carolina; University of North Carolina Chapel Hill
摘要：We propose counting process-based dimension reduction methods for right-censored survival data. Semiparametric estimating equations are constructed to estimate the dimension reduction subspace for the failure time model. Our methods address two limitations of existing approaches. First, using the counting process formulation, they do not require estimation of the censoring distribution to compensate for the bias in estimating the dimension reduction subspace. Second, the nonparametric estimati...
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作者：Liu, Yang; Sun, Wei; Reiner, Alexander P.; Kooperberg, Charles; He, Qianchuan
作者单位：University System of Ohio; Wright State University Dayton; Fred Hutchinson Cancer Center
摘要：Genetic pathway analysis has become an important tool for investigating the association between a group of genetic variants and traits. With dense genotyping and extensive imputation, the number of genetic variants in biological pathways has increased considerably and sometimes exceeds the sample size n. Conducting genetic pathway analysis and statistical inference in such settings is challenging. We introduce an approach that can handle pathways whose dimension p could be greater than n. Our ...
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作者：Basse, G. W.; Feller, A.; Toulis, P.
作者单位：University of California System; University of California Berkeley; University of California System; University of California Berkeley; University of Chicago
摘要：Many causal questions involve interactions between units, also known as interference, for example between individuals in households, students in schools, or firms in markets. In this paper we formalize the concept of a conditioning mechanism, which provides a framework for constructing valid and powerful randomization tests under general forms of interference. We describe our framework in the context of two-stage randomized designs and apply our approach to a randomized evaluation of an interv...
