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Biometrics|October 9, 2020
Modeling sparse longitudinal data on Riemannian manifoldsXiongtao Dai, Zhenhua Lin, Hans-Georg MüllerBiometrics|October 12, 2020
Nonparametric variable importance assessment using machine learning techniquesBrian D Williamson, Peter B Gilbert, Marco Carone, et al.Biometrics|April 1, 2018
Sensitivity analysis and power for instrumental variable studiesXuran Wang, Yang Jiang, Nancy R Zhang, et al.Biometrics|December 7, 2019
Optimal approximate conversions of odds ratios and hazard ratios to risk ratiosTyler J VanderWeeleBiometrics|February 13, 2019
Exact inference for integrated population modellingP Besbeas, B J T MorganBiometrics|November 28, 2020
Semiparametric imputation using conditional Gaussian mixture models under item nonresponseDanhyang Lee, Jae Kwang KimBiometrics|February 22, 2018
Bayesian enhancement two-stage design for single-arm phase II clinical trials with binary and time-to-event endpointsHaolun Shi, Guosheng YinBiometrics|June 30, 2016
Toward an objective and reproducible model choice via variable selection deviationWenjing Yang, Yuhong YangBiometrics|May 6, 2016
Using the SAEM algorithm for mechanistic joint models characterizing the relationship between nonlinear PSA kinetics and survival in prostate cancer patientsSolène Desmée, France Mentré, Christine Veyrat-Follet, et al.Biometrics|September 2, 2020
Modeling excess hazard with time-to-cure as a parameterOlayidé Boussari, Laurent Bordes, Gaëlle Romain, et al.Pageof 558