Biostatistics (Oxford, England)

Keyphrases

Publications

2024

Yifan Yu, Rosario Pintos Lobo, Michael Cody Riedel, Katherine Bottenhorn, Angela R Laird, Thomas E Nichols
Neuroimaging meta regression for coordinate based meta analysis data with a spatial model. Biostatistics (Oxford, England) (2024)
Shuoyang Wang, Yuan Huang
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders. Biostatistics (Oxford, England) (2024)
Simone Tiberi, Joël Meili, Peiying Cai, Charlotte Soneson, Dongze He, Hirak Sarkar, Alejandra Avalos-Pacheco, Rob Patro, Mark D Robinson
DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes. Biostatistics (Oxford, England) (2024)
Arman Oganisian, Kelly D Getz, Todd A Alonzo, Richard Aplenc, Jason A Roy
Bayesian semiparametric model for sequential treatment decisions with informative timing. Biostatistics (Oxford, England) (2024)
Wei Zong, Danyang Li, Marianne L Seney, Colleen A Mcclung, George C Tseng
Model-based multifacet clustering with high-dimensional omics applications. Biostatistics (Oxford, England) (2024)
Gopal Kotecha, Steffen Ventz, Sandra Fortini, Lorenzo Trippa
Uncertainty directed factorial clinical trials. Biostatistics (Oxford, England) (2024)
Margaux Delporte, Geert Molenberghs, Steffen Fieuws, Geert Verbeke
A joint normal-ordinal (probit) model for ordinal and continuous longitudinal data. Biostatistics (Oxford, England) (2024)
Timothy Barry, Kathryn Roeder, Eugene Katsevich
Exponential family measurement error models for single-cell CRISPR screens. Biostatistics (Oxford, England) (2024)
Gen Li, Miaoyan Wang
Simultaneous clustering and estimation of networks in multiple graphical models. Biostatistics (Oxford, England) (2024)
Samrat Roy, Michael J Daniels, Jason Roy
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. Biostatistics (Oxford, England) (2024)
Samrat Roy, Michael J Daniels, Jason Roy
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. Biostatistics (Oxford, England) (2024)
Arman Oganisian, Kelly D Getz, Todd A Alonzo, Richard Aplenc, Jason A Roy
Bayesian semiparametric model for sequential treatment decisions with informative timing. Biostatistics (Oxford, England) (2024)
Xinyuan Tian, Yiting Wang, Selena Wang, Yi Zhao, Yize Zhao
Bayesian mixed model inference for genetic association under related samples with brain network phenotype. Biostatistics (Oxford, England) (2024)
Kara E Rudolph, Nicholas T Williams, Ivan Diaz
Practical causal mediation analysis: extending nonparametric estimators to accommodate multiple mediators and multiple intermediate confounders. Biostatistics (Oxford, England) (2024)
Thai-Son Tang, Zhihui Liu, Ali Hosni, John Kim, Olli Saarela
A marginal structural model for normal tissue complication probability. Biostatistics (Oxford, England) (2024)
Hyung G Park
Bayesian estimation of covariate assisted principal regression for brain functional connectivity. Biostatistics (Oxford, England) (2024)
Timothy Barry, Kathryn Roeder, Eugene Katsevich
Exponential family measurement error models for single-cell CRISPR screens. Biostatistics (Oxford, England) (2024)
Salil Koner, Sheng Luo
Projection-based two-sample inference for sparsely observed multivariate functional data. Biostatistics (Oxford, England) (2024)
Xinyuan Tian, Yiting Wang, Selena Wang, Yi Zhao, Yize Zhao
Bayesian mixed model inference for genetic association under related samples with brain network phenotype. Biostatistics (Oxford, England) (2024)
Simone Tiberi, Joël Meili, Peiying Cai, Charlotte Soneson, Dongze He, Hirak Sarkar, Alejandra Avalos-Pacheco, Rob Patro, Mark D Robinson
DifferentialRegulation: a Bayesian hierarchical approach to identify differentially regulated genes. Biostatistics (Oxford, England) (2024)
Mélina Ribaud, Aurélie Labbe, Khaled Fouda, Karim Oualkacha
Fast matrix completion in epigenetic methylation studies with informative covariates. Biostatistics (Oxford, England) (2024)
Timothy Barry, Kathryn Roeder, Eugene Katsevich
Exponential family measurement error models for single-cell CRISPR screens. Biostatistics (Oxford, England) (2024)
Grace Rhodes, Marie Davidian, Wenbin Lu
Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator. Biostatistics (Oxford, England) (2024)
Xiaoyue Xi, Hélène Ruffieux
A modeling framework for detecting and leveraging node-level information in Bayesian network inference. Biostatistics (Oxford, England) (2024)
Jin Jin, Guanghao Qi, Zhi Yu, Nilanjan Chatterjee
Mendelian randomization analysis using multiple biomarkers of an underlying common exposure. Biostatistics (Oxford, England) (2024)
Seoyoon Cho, Matthew Austin Psioda, Joseph G Ibrahim
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas. Biostatistics (Oxford, England) (2024)
Xinyuan Tian, Yiting Wang, Selena Wang, Yi Zhao, Yize Zhao
Bayesian mixed model inference for genetic association under related samples with brain network phenotype. Biostatistics (Oxford, England) (2024)
Shanghong Xie, R Todd Ogden
Functional support vector machine. Biostatistics (Oxford, England) (2024)
Trang Quynh Nguyen, Michelle C Carlson, Elizabeth A Stuart
Identification of complier and noncomplier average causal effects in the presence of latent missing-at-random (LMAR) outcomes: a unifying view and choices of assumptions. Biostatistics (Oxford, England) (2024)
Qianhan Zeng, Jing Zhou, Ying Ji, Hansheng Wang
A semiparametric Gaussian mixture model for chest CT-based 3D blood vessel reconstruction. Biostatistics (Oxford, England) (2024)
Salil Koner, Sheng Luo
Projection-based two-sample inference for sparsely observed multivariate functional data. Biostatistics (Oxford, England) (2024)
Bao Le, Xiaoyue Niu, Tim Brown, Jeffrey W Imai-Eaton
Dynamic models augmented by hierarchical data: an application of estimating HIV epidemics at sub-national level. Biostatistics (Oxford, England) (2024)
Grace Rhodes, Marie Davidian, Wenbin Lu
Estimation of optimal treatment regimes with electronic medical record data using the residual life value estimator. Biostatistics (Oxford, England) (2024)
Gen Li, Miaoyan Wang
Simultaneous clustering and estimation of networks in multiple graphical models. Biostatistics (Oxford, England) (2024)

volume 25, number 3, 2024

Samrat Roy, Michael J Daniels, Jason Roy
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. Biostatistics (Oxford, England) 25 (3) (2024)
Gopal Kotecha, Steffen Ventz, Sandra Fortini, Lorenzo Trippa
Uncertainty directed factorial clinical trials. Biostatistics (Oxford, England) 25 (3) (2024)
Samrat Roy, Michael J Daniels, Jason Roy
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. Biostatistics (Oxford, England) 25 (3) (2024)
Haoyi Fu, Lu Tang, Ori Rosen, Alison E Hipwell, Theodore J Huppert, Robert T Krafty
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data. Biostatistics (Oxford, England) 25 (3) (2024)
Samrat Roy, Michael J Daniels, Jason Roy
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. Biostatistics (Oxford, England) 25 (3) (2024)
Gopal Kotecha, Steffen Ventz, Sandra Fortini, Lorenzo Trippa
Uncertainty directed factorial clinical trials. Biostatistics (Oxford, England) 25 (3) (2024)
Gopal Kotecha, Steffen Ventz, Sandra Fortini, Lorenzo Trippa
Uncertainty directed factorial clinical trials. Biostatistics (Oxford, England) 25 (3) (2024)
Samrat Roy, Michael J Daniels, Jason Roy
A Bayesian nonparametric approach for multiple mediators with applications in mental health studies. Biostatistics (Oxford, England) 25 (3) (2024)
Kwangho Kim, Bijan A Niknam, José R Zubizarreta
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes. Biostatistics (Oxford, England) 25 (3) (2024)
Haoyi Fu, Lu Tang, Ori Rosen, Alison E Hipwell, Theodore J Huppert, Robert T Krafty
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data. Biostatistics (Oxford, England) 25 (3) (2024)
Haoyi Fu, Lu Tang, Ori Rosen, Alison E Hipwell, Theodore J Huppert, Robert T Krafty
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data. Biostatistics (Oxford, England) 25 (3) (2024)
Shuoyang Wang, Yuan Huang
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders. Biostatistics (Oxford, England) 25 (3) (2024)
Shuoyang Wang, Yuan Huang
DP2LM: leveraging deep learning approach for estimation and hypothesis testing on mediation effects with high-dimensional mediators and complex confounders. Biostatistics (Oxford, England) 25 (3) (2024)
Kwangho Kim, Bijan A Niknam, José R Zubizarreta
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes. Biostatistics (Oxford, England) 25 (3) (2024)
Haoyi Fu, Lu Tang, Ori Rosen, Alison E Hipwell, Theodore J Huppert, Robert T Krafty
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data. Biostatistics (Oxford, England) 25 (3) (2024)
Gopal Kotecha, Steffen Ventz, Sandra Fortini, Lorenzo Trippa
Uncertainty directed factorial clinical trials. Biostatistics (Oxford, England) 25 (3) (2024)