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Biometrics|April 7, 2025
Statistical inference on the relative risk following covariate-adaptive randomizationFengyu Zhao, Yang Liu, Feifang HuBiometrics|April 12, 2025
Inference with approximate local false discovery ratesRajesh Karmakar, Ruth Heller, Saharon RossetBiometrics|April 2, 2025
Power-enhanced two-sample mean tests for high-dimensional microbiome compositional dataDanning Li, Lingzhou Xue, Haoyi Yang, et al.Biometrics|March 21, 2025
Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regressionTong Lu, Yuan Zhang, Vince Lyzinski, et al.Biometrics|March 17, 2025
A model-free framework for evaluating the reliability of a new device with multiple imperfect reference standardsYing Cui, Qi Yu, Amita Manatunga, et al.Biometrics|March 17, 2025
Jointly modeling means and variances for nonlinear mixed effects models with measurement errors and outliersQian Ye, Lang Wu, Viviane Dias LimaBiometrics|March 24, 2025
Regression to the mean for bivariate distributionsManzoor Khan, Jake OlivierBiometrics|May 31, 2024
Rejoinder to the discussion on "Bayesian meta-analysis of penetrance for cancer risk"Thanthirige Lakshika M Ruberu, Danielle Braun, Giovanni Parmigiani, et al.Biometrics|May 31, 2024
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati BiswasPeter Müller, Bernardo FloresBiometrics|May 31, 2024
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati BiswasMoreno Ursino, Sarah ZoharPageof 554