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Anne Buu

Showing results (11-20 of 82) with videos related to

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Statistical Methods in Medical Research|May 25, 2016
An efficient genome-wide association test for mixed binary and continuous phenotypes with applications to substance abuse researchAnne Buu, L Keoki Williams, James J Yang
Journal of Psychoactive Drugs|July 30, 2020
State Medical Marijuana Laws and Associated Marijuana Use, Attitudes, and Perceived Social Norms among Adolescents in the U.SSu-Wei Wong, Anne Buu, Hsien-Chang Lin
Statistica Sinica|July 16, 2016
Feature Screening in Ultrahigh Dimensional Cox's ModelGuangren Yang, Ye Yu, Runze Li, et al.
Statistical Methods in Medical Research|August 4, 2018
A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small <i>p</i>-values in permutation testsJames J Yang, Elisa M Trucco, Anne Buu
BMC Bioinformatics|August 25, 2017
Identifying pleiotropic genes in genome-wide association studies from related subjects using the linear mixed model and Fisher combination functionJames J Yang, L Keoki Williams, Anne Buu
Indoor Air|October 6, 2020
Deposition of E-cigarette aerosol in human airways through passive vapingWei-Chung Su, Su-Wei Wong, Anne Buu
Journal of the Royal Statistical Society. Series C, Applied Statistics|April 5, 2016
Two-stage model for time varying effects of zero-inflated count longitudinal covariates with applications in health behaviour researchHanyu Yang, Runze Li, Robert A Zucker, et al.
Statistics in Medicine|May 13, 2011
New variable selection methods for zero-inflated count data with applications to the substance abuse fieldAnne Buu, Norman J Johnson, Runze Li, et al.
Statistics in Medicine|November 15, 2014
Two-stage model for time-varying effects of discrete longitudinal covariates with applications in analysis of daily process dataHanyu Yang, James A Cranford, Runze Li, et al.
Statistics in Medicine|July 25, 2012
Statistical models for longitudinal zero-inflated count data with applications to the substance abuse fieldAnne Buu, Runze Li, Xianming Tan, et al.
Pageof 9

Showing results (11-20 of 82) with videos related to

Sort By:
Pageof 9
Statistical Methods in Medical Research|May 25, 2016
An efficient genome-wide association test for mixed binary and continuous phenotypes with applications to substance abuse researchAnne Buu, L Keoki Williams, James J Yang
Journal of Psychoactive Drugs|July 30, 2020
State Medical Marijuana Laws and Associated Marijuana Use, Attitudes, and Perceived Social Norms among Adolescents in the U.SSu-Wei Wong, Anne Buu, Hsien-Chang Lin
Statistica Sinica|July 16, 2016
Feature Screening in Ultrahigh Dimensional Cox's ModelGuangren Yang, Ye Yu, Runze Li, et al.
Statistical Methods in Medical Research|August 4, 2018
A hybrid method of the sequential Monte Carlo and the Edgeworth expansion for computation of very small <i>p</i>-values in permutation testsJames J Yang, Elisa M Trucco, Anne Buu
BMC Bioinformatics|August 25, 2017
Identifying pleiotropic genes in genome-wide association studies from related subjects using the linear mixed model and Fisher combination functionJames J Yang, L Keoki Williams, Anne Buu
Indoor Air|October 6, 2020
Deposition of E-cigarette aerosol in human airways through passive vapingWei-Chung Su, Su-Wei Wong, Anne Buu
Journal of the Royal Statistical Society. Series C, Applied Statistics|April 5, 2016
Two-stage model for time varying effects of zero-inflated count longitudinal covariates with applications in health behaviour researchHanyu Yang, Runze Li, Robert A Zucker, et al.
Statistics in Medicine|May 13, 2011
New variable selection methods for zero-inflated count data with applications to the substance abuse fieldAnne Buu, Norman J Johnson, Runze Li, et al.
Statistics in Medicine|November 15, 2014
Two-stage model for time-varying effects of discrete longitudinal covariates with applications in analysis of daily process dataHanyu Yang, James A Cranford, Runze Li, et al.
Statistics in Medicine|July 25, 2012
Statistical models for longitudinal zero-inflated count data with applications to the substance abuse fieldAnne Buu, Runze Li, Xianming Tan, et al.
Pageof 9