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Citation: Laframboise, Thomas et al., PLASQ: a generalized linear model-based procedure to determine allelic dosage in cancer cells from SNP array data, Biostatistics (Oxford. Print) , 8(2), 2007, pp. 323-336
Citation: Wang, Jiexun et al., Optimal 2-stage design with given power in association studies, Biostatistics (Oxford. Print) , 10(2), 2009, pp. 324-326
Citation: Wang, C.y, Robust best linear estimation for regression analysis using surrogate and instrumental variables, Biostatistics (Oxford. Print) , 13(2), 2012, pp. 326-340
Citation: Plagnol, Vincent et al., Statistical independence of the colocalized association signals for type 1 diabetes and RPS26 gene expression on chromosome 12q13, Biostatistics (Oxford. Print) , 10(2), 2009, pp. 327-334
Citation: Davidov, Ori et Rosen, Sophia, Constrained inference in mixed-effects models for longitudinal data with application to hearing loss, Biostatistics (Oxford. Print) , 12(2), 2011, pp. 327-340
Citation: J. Bedrick, Edward et al., Predictive influence in the accelerated failure time model, Biostatistics (Oxford. Print) , 3(3), 2002, pp. 331-346
Citation: Shen, Changyu et Weissfeld, Lisa, Application of pattern-mixture models to outcomes that are potentially missing not at random using pseudo maximum likelihood estimation, Biostatistics (Oxford. Print) , 6(2), 2005, pp. 333-347
Citation: Garrett-mayer, Elizabeth et al., Cross-study validation and combined analysis of gene expression microarray data, Biostatistics (Oxford. Print) , 9(2), 2008, pp. 333-354
Citation: Jackson, C.h et al., Bayesian graphical models for regression on multiple data sets with different variables, Biostatistics (Oxford. Print) , 10(2), 2009, pp. 335-351
Citation: J. Reich, Brian et al., Flexible Bayesian quantile regression for independent and clustered data, Biostatistics (Oxford. Print) , 11(2), 2010, pp. 337-352
Citation: Lu, Yun et L. Zeger, Scott, On the equivalence of case-crossover and time series methods in environmental epidemiology, Biostatistics (Oxford. Print) , 8(2), 2007, pp. 337-344
Citation: L. Prentice, Ross et Qi, Lihong, Aspects of the design and analysis of high-dimensional SNP studies for disease risk estimation, Biostatistics (Oxford. Print) , 7(3), 2006, pp. 339-354
Citation: A. Kaciroti, Niko et al., A Bayesian model for time-to-event data with informative censoring, Biostatistics (Oxford. Print) , 13(2), 2012, pp. 341-354
Citation: Dominici, Francesca et al., Hierarchical bivariate time series models: a combined analysis of the effects of particulate matter on morbidity and mortality, Biostatistics (Oxford. Print) , 5(3), 2004, pp. 341-360
Citation: J. Rathouz, Paul, Identifiability assumptions for missing covariate data in failure time regression models, Biostatistics (Oxford. Print) , 8(2), 2007, pp. 345-356
Citation: Chen, Junliang et al., A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution, Biostatistics (Oxford. Print) , 3(3), 2002, pp. 347-360
Citation: K. Hein, Anne-mette et al., BGX: a fully Bayesian integrated approach to the analysis of Affymetrix GeneChip data, Biostatistics (Oxford. Print) , 6(3), 2005, pp. 349-373
Citation: Wang, Ching-yun et Song, Xiao, Expected estimating equations via EM for proportional hazards regression with covariate misclassification, Biostatistics (Oxford. Print) , 14(2), 2013, pp. 351-365
Citation: D. Silver, Jeremy et al., Microarray background correction: maximum likelihood estimation for the normal.exponential convolution, Biostatistics (Oxford. Print) , 10(2), 2009, pp. 352-363