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Biostatistics (Oxford, England)|May 10, 2014
A Monte Carlo method for variance estimation for estimators based on induced smoothingZhezhen Jin, Yongzhao Shao, Zhiliang YingBiostatistics (Oxford, England)|April 5, 2017
Multivariate semiparametric spatial methods for imaging dataHuaihou Chen, Guanqun Cao, Ronald A CohenBiostatistics (Oxford, England)|July 25, 2012
Marginal additive hazards model for case-cohort studies with multiple disease outcomes: an application to the Atherosclerosis Risk in Communities (ARIC) studySangwook Kang, Jianwen Cai, Lloyd ChamblessBiostatistics (Oxford, England)|September 19, 2012
Incorporating group correlations in genome-wide association studies using smoothed group LassoJin Liu, Jian Huang, Shuangge Ma, et al.Biostatistics (Oxford, England)|September 25, 2012
A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq dataHao Wu, Chi Wang, Zhijin WuBiostatistics (Oxford, England)|August 22, 2012
Sequential stopping for high-throughput experimentsDavid Rossell, Peter MüllerBiostatistics (Oxford, England)|October 23, 2012
Extensions of criteria for evaluating risk prediction models for public health applicationsRuth M PfeifferBiostatistics (Oxford, England)|August 30, 2012
Testing multiple variance components in linear mixed-effects modelsReza Drikvandi, Geert Verbeke, Ahmad Khodadadi, et al.Biostatistics (Oxford, England)|June 15, 2012
On cross-odds ratio for multivariate competing risks dataThomas H Scheike, Yanqing SunBiostatistics (Oxford, England)|June 24, 2005
A simple meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpointStuart G BakerPageof 141