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Biometrics|December 29, 2007
A joint model for longitudinal measurements and survival data in the presence of multiple failure typesRobert M Elashoff, Gang Li, Ning LiBiometrika|July 12, 2013
Nonparametric inference for assessing treatment efficacy in randomized clinical trials with a time-to-event outcome and all-or-none complianceRobert M Elashoff, Gang Li, Ying ZhouStatistics and Its Interface|September 6, 2011
A joint model of longitudinal and competing risks survival data with heterogeneous random effects and outlying longitudinal measurementsXin Huang, Gang Li, Robert M ElashoffStatistics in Medicine|November 25, 2006
An approach to joint analysis of longitudinal measurements and competing risks failure time dataRobert M Elashoff, Gang Li, Ning LiBiometrical Journal. Biometrische Zeitschrift|February 7, 2009
Robust joint modeling of longitudinal measurements and competing risks failure time dataNing Li, Robert M Elashoff, Gang LiStatistics in Medicine|March 12, 2011
A method to estimate treatment efficacy among latent subgroups of a randomized clinical trialLily L Altstein, Gang Li, Robert M ElashoffLifetime Data Analysis|June 16, 2010
A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effectsXin Huang, Gang Li, Robert M Elashoff, et al.Statistics in Medicine|November 28, 2009
Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trialNing Li, Robert M Elashoff, Gang Li, et al.Biostatistics (Oxford, England)|August 20, 2003
A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applicationsTimothy D Johnson, Robert M Elashoff, Susan J HarkemaBiometrical Journal. Biometrische Zeitschrift|November 6, 2012
An exploration of fixed and random effects selection for longitudinal binary outcomes in the presence of nonignorable dropoutNing Li, Michael J Daniels, Gang Li, et al.Pageof 8