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Biometrics|September 26, 2020
Improving precision and power in randomized trials for COVID-19 treatments using covariate adjustment, for binary, ordinal, and time-to-event outcomesDavid Benkeser, Iván Díaz, Alex Luedtke, et al.Biometrics|September 1, 2020
Penalized Fieller's confidence interval for the ratio of bivariate normal meansPeng Wang, Siqi Xu, Yi-Xin Wang, et al.Biometrics|September 2, 2020
Nonparametric matrix response regression with application to brain imaging data analysisWei Hu, Tianyu Pan, Dehan Kong, et al.Biometrics|September 11, 2020
Using the "Hidden" genome to improve classification of cancer typesSaptarshi Chakraborty, Colin B Begg, Ronglai ShenBiometrics|October 8, 2020
Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoringFengting Yi, Niansheng Tang, Jianguo SunBiometrics|October 8, 2020
A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomesZhenke Wu, Livia Casciola-Rosen, Antony Rosen, et al.Biometrics|November 20, 2019
Estimating individualized treatment regimes from crossover designsCrystal T Nguyen, Daniel J Luckett, Anna R Kahkoska, et al.Biometrics|March 7, 2020
Predictively consistent prior effective sample sizesBeat Neuenschwander, Sebastian Weber, Heinz Schmidli, et al.Biometrics|March 6, 2020
Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer-Lemeshow testGiovanni Nattino, Michael L Pennell, Stanley LemeshowBiometrics|December 1, 2019
Estimating overdispersion in sparse multinomial dataFarzana Afroz, Matt Parry, David FletcherPageof 557