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Biometrics

Showing results (1591-1600 of 5,523) with videos related to

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Biometrics|June 1, 1987
Asynchronous distance between homologous DNA sequencesD Barry, J A Hartigan
Biometrics|June 1, 1987
A Markov model for a clinical episode of recurrent genital herpesG J Badger, P M Vacek, R C Reichman
Biometrics|January 19, 2022
Ultra-high dimensional variable selection for doubly robust causal inferenceDingke Tang, Dehan Kong, Wenliang Pan, et al.
Biometrics|December 24, 2021
Neural networks for clustered and longitudinal data using mixed effects modelsFrancesca Mandel, Riddhi Pratim Ghosh, Ian Barnett
Biometrics|October 31, 2022
Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneityYu-Jen Cheng, Yen-Chun Liu, Chang-Yu Tsai, et al.
Biometrics|October 31, 2022
Marginal proportional hazards models for clustered interval-censored data with time-dependent covariatesKaitlyn Cook, Wenbin Lu, Rui Wang
Biometrics|November 2, 2022
Latent multinomial models for extended batch-mark dataWei Zhang, Simon J Bonner, Rachel S McCrea
Biometrics|October 28, 2022
CEDAR: communication efficient distributed analysis for regressionsChanggee Chang, Zhiqi Bu, Qi Long
Biometrics|July 8, 2015
Marginal Bayesian nonparametric model for time to disease arrival of threatened amphibian populationsHaiming Zhou, Timothy Hanson, Roland Knapp
Biometrics|July 16, 2015
Multiple kernel learning with random effects for predicting longitudinal outcomes and data integrationTianle Chen, Donglin Zeng, Yuanjia Wang
Pageof 553

Showing results (1591-1600 of 5,523) with videos related to

Sort By:
Pageof 553
Biometrics|June 1, 1987
Asynchronous distance between homologous DNA sequencesD Barry, J A Hartigan
Biometrics|June 1, 1987
A Markov model for a clinical episode of recurrent genital herpesG J Badger, P M Vacek, R C Reichman
Biometrics|January 19, 2022
Ultra-high dimensional variable selection for doubly robust causal inferenceDingke Tang, Dehan Kong, Wenliang Pan, et al.
Biometrics|December 24, 2021
Neural networks for clustered and longitudinal data using mixed effects modelsFrancesca Mandel, Riddhi Pratim Ghosh, Ian Barnett
Biometrics|October 31, 2022
Semiparametric estimation of the transformation model by leveraging external aggregate data in the presence of population heterogeneityYu-Jen Cheng, Yen-Chun Liu, Chang-Yu Tsai, et al.
Biometrics|October 31, 2022
Marginal proportional hazards models for clustered interval-censored data with time-dependent covariatesKaitlyn Cook, Wenbin Lu, Rui Wang
Biometrics|November 2, 2022
Latent multinomial models for extended batch-mark dataWei Zhang, Simon J Bonner, Rachel S McCrea
Biometrics|October 28, 2022
CEDAR: communication efficient distributed analysis for regressionsChanggee Chang, Zhiqi Bu, Qi Long
Biometrics|July 8, 2015
Marginal Bayesian nonparametric model for time to disease arrival of threatened amphibian populationsHaiming Zhou, Timothy Hanson, Roland Knapp
Biometrics|July 16, 2015
Multiple kernel learning with random effects for predicting longitudinal outcomes and data integrationTianle Chen, Donglin Zeng, Yuanjia Wang
Pageof 553