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Biometrics|October 26, 2018
Longitudinal and time-to-drop-out joint models can lead to seriously biased estimates when the drop-out mechanism is at randomChristos Thomadakis, Loukia Meligkotsidou, Nikos Pantazis, et al.Biometrics|October 26, 2018
Instrumental variable based estimation under the semiparametric accelerated failure time modelJared D Huling, Menggang Yu, A James O'MalleyBiometrics|April 22, 2024
Single proxy controlChan Park, David B Richardson, Eric J Tchetgen TchetgenBiometrics|December 11, 2013
Variable selection and prediction using a nested, matched case-control study: Application to hospital acquired pneumonia in stroke patientsJing Qian, Seyedmehdi Payabvash, André Kemmling, et al.Biometrics|August 27, 2014
A serial risk score approach to disease classification that accounts for accuracy and costDat Huynh, Oliver Laeyendecker, Ron BrookmeyerBiometrics|December 20, 2013
Estimation of time-dependent association for bivariate failure times in the presence of a competing riskJing Ning, Karen Bandeen-RocheBiometrics|August 29, 2014
Estimation of treatment effects in matched-pair cluster randomized trials by calibrating covariate imbalance between clustersZhenke Wu, Constantine E Frangakis, Thomas A Louis, et al.Biometrics|April 11, 2016
Accounting for interactions and complex inter-subject dependency in estimating treatment effect in cluster-randomized trials with missing outcomesMelanie Prague, Rui Wang, Alisa Stephens, et al.Biometrics|April 11, 2016
Moment reconstruction and moment-adjusted imputation when exposure is generated by a complex, nonlinear random effects modeling processCornelis J Potgieter, Rubin Wei, Victor Kipnis, et al.Biometrics|October 18, 2013
Bayesian experimental design for models with intractable likelihoodsChristopher C Drovandi, Anthony N PettittPageof 555