Biometrics

Keyphrases

Publications

2023

Chanmin Kim, Mauricio Tec, Corwin M Zigler
Bayesian nonparametric adjustment of confounding. Biometrics (2023)
Evan T R Rosenman, Guillaume Basse, Art B Owen, Mike Baiocchi
Combining observational and experimental datasets using shrinkage estimators. Biometrics (2023)
Rui Chen, Guanhua Chen, Menggang Yu
Entropy balancing for causal generalization with target sample summary information. Biometrics (2023)
Adane F Wogu, Haolin Li, Shanshan Zhao, Hazel B Nichols, Jianwen Cai
Additive subdistribution hazards regression for competing risks data in case-cohort studies. Biometrics (2023)
Nathan William Bean, Joseph George Ibrahim, Matthew Austin Psioda
Bayesian design of multi-regional clinical trials with time-to-event endpoints. Biometrics (2023)
Ruiyan Luo, Xin Qi
Nonlinear function-on-scalar regression via functional universal approximation. Biometrics (2023)
Chanmin Kim, Mauricio Tec, Corwin M Zigler
Bayesian nonparametric adjustment of confounding. Biometrics (2023)
Tianmeng Lyu, Björn Bornkamp, Guenther Mueller-Velten, Heinz Schmidli
Bayesian inference for a principal stratum estimand on recurrent events truncated by death. Biometrics (2023)
Muxuan Liang, Menggang Yu
Relative contrast estimation and inference for treatment recommendation. Biometrics (2023)
Rui Chen, Guanhua Chen, Menggang Yu
Entropy balancing for causal generalization with target sample summary information. Biometrics (2023)
Ping-Shou Zhong
Homogeneity Tests of Covariance for High-Dimensional Functional Data with Applications to Event Segmentation. Biometrics (2023)
Adane F Wogu, Haolin Li, Shanshan Zhao, Hazel B Nichols, Jianwen Cai
Additive subdistribution hazards regression for competing risks data in case-cohort studies. Biometrics (2023)
Beibei Guo, Ying Yuan
DROID: Dose-ranging approach to optimizing dose in oncology drug development. Biometrics (2023)
Heejun Shin, Joseph Antonelli
Improved inference for doubly robust estimators of heterogeneous treatment effects. Biometrics (2023)
Ruiyan Luo, Xin Qi
Nonlinear function-on-scalar regression via functional universal approximation. Biometrics (2023)
Joshua L Warren, Melanie H Chitwood, Benjamin Sobkowiak, Caroline Colijn, Ted Cohen
Spatial modeling of M. tuberculosis transmission with dyadic genetic relatedness data. Biometrics (2023)
Seong-Ho Lee, Yanyuan Ma, Ying Wei, Jinbo Chen
Optimal sampling for positive only electronic health record data. Biometrics (2023)
Rex Shen, Keran Moll, Ying Lu, Lu Tian
A seasonality-adjusted sequential test for vaccine safety surveillance. Biometrics (2023)
Youjin Lee, Ashley L Buchanan, Elizabeth L Ogburn, Samuel R Friedman, M Elizabeth Halloran, Natallia V Katenka, Jing Wu, Georgios Nikolopoulos
Finding influential subjects in a network using a causal framework. Biometrics (2023)
Rex Shen, Keran Moll, Ying Lu, Lu Tian
A Seasonality-Adjusted Sequential Test for Vaccine Safety Surveillance. Biometrics (2023)
Ao Huang, Kosuke Morikawa, Tim Friede, Satoshi Hattori
Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries. Biometrics (2023)
ShengLi Tzeng, Chi-Wei Lai, Hsin-Cheng Huang
Spatially adaptive calibrations of airbox PM 2.5 data. Biometrics (2023)
Dong Luo, Arya Ebadi, Kristen Emery, Yilun He, William Stafford Noble, Uri Keich
Competition-based control of the false discovery proportion. Biometrics (2023)
Gonzalo García-Donato, Stefano Cabras, María Eugenia Castellanos
Model uncertainty quantification in Cox regression. Biometrics (2023)
Evan T R Rosenman, Guillaume Basse, Art B Owen, Mike Baiocchi
Combining observational and experimental datasets using shrinkage estimators. Biometrics (2023)
Eleonora Arnone, Luca Negri, Ferruccio Panzica, Laura M Sangalli
Analyzing data in complicated 3D domains: Smoothing, semiparametric regression and functional principal component analysis. Biometrics (2023)
ShengLi Tzeng, Chi-Wei Lai, Hsin-Cheng Huang
Spatially Adaptive Calibrations of AirBox PM 2.5 Data. Biometrics (2023)
Fangting Zhou, Kejun He, Yang Ni
Individualized causal discovery with latent trajectory embedded bayesian networks. Biometrics (2023)
Alexander S Long, Brian J Reich, Ana-Maria Staicu, John Meitzen
A nonparametric test of group distributional differences for hierarchically-clustered functional data. Biometrics (2023)
Xinyi Lu, Mevin B Hooten, Ann M Raiho, David K Swanson, Carl A Roland, Sarah E Stehn
Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems. Biometrics (2023)
Chanmin Kim, Mauricio Tec, Corwin M Zigler
Bayesian nonparametric adjustment of confounding. Biometrics (2023)
D Böhning, R Lerdsuwansri, Patarawan Sangnawakij
Modelling Covid-19 contact-tracing using the ratio regression capture-recapture approach. Biometrics (2023)
Joshua L Warren, Melanie H Chitwood, Benjamin Sobkowiak, Caroline Colijn, Ted Cohen
Spatial modeling of Mycobacterium tuberculosis transmission with dyadic genetic relatedness data. Biometrics (2023)
Youjin Lee, Ashley L Buchanan, Elizabeth L Ogburn, Samuel R Friedman, M Elizabeth Halloran, Natallia V Katenka, Jing Wu, Georgios K Nikolopoulos
Finding influential subjects in a network using a causal framework. Biometrics (2023)
Muxuan Liang, Menggang Yu
Relative contrast estimation and inference for treatment recommendation. Biometrics (2023)
Heejun Shin, Joseph Antonelli
Improved inference for doubly robust estimators of heterogeneous treatment effects. Biometrics (2023)
Adane F Wogu, Haolin Li, Shanshan Zhao, Hazel B Nichols, Jianwen Cai
Additive subdistribution hazards regression for competing risks data in case-cohort studies. Biometrics (2023)
Seong-Ho Lee, Yanyuan Ma, Ying Wei, Jinbo Chen
Optimal sampling for positive only electronic health record data. Biometrics (2023)
Dong Luo, Arya Ebadi, Kristen Emery, Yilun He, William Stafford Noble, Uri Keich
Competition-based control of the false discovery proportion. Biometrics (2023)
Xinyi Lu, Mevin B Hooten, Ann M Raiho, David K Swanson, Carl A Roland, Sarah E Stehn
Latent trajectory models for spatio-temporal dynamics in Alaskan ecosystems. Biometrics (2023)
Seong-Ho Lee, Yanyuan Ma, Ying Wei, Jinbo Chen
Optimal sampling for positive only electronic health record data. Biometrics (2023)
Dankmar Böhning, Rattana Lerdsuwansri, Patarawan Sangnawakij
Modeling COVID-19 contact-tracing using the ratio regression capture-recapture approach. Biometrics (2023)
Gonzalo García-Donato, Stefano Cabras, María Eugenia Castellanos
Model uncertainty quantification in Cox regression. Biometrics (2023)
Tianmeng Lyu, Björn Bornkamp, Guenther Mueller-Velten, Heinz Schmidli
Bayesian inference for a principal stratum estimand on recurrent events truncated by death. Biometrics (2023)
Ran Dai, Cheng Zheng
FDR controlled multiple testing for union null hypotheses: A knockoff-based approach. Biometrics (2023)
Shu Jiang, Graham A Colditz
Causal mediation analysis using high-dimensional image mediator bounded in irregular domain with an application to breast cancer. Biometrics (2023)
Matthew R Schofield, Richard J Barker, William A Link, Heloise Pavanato
Estimating population size: the importance of model and estimator choice. Biometrics (2023)
Seong-Ho Lee, Yanyuan Ma, Ying Wei, Jinbo Chen
Optimal sampling for positive only electronic health record data. Biometrics (2023)
Ao Huang, Kosuke Morikawa, Tim Friede, Satoshi Hattori
Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries. Biometrics (2023)
Nathan W Bean, Joseph G Ibrahim, Matthew Austin Psioda
Bayesian design of multi-regional clinical trials with time-to-event endpoints. Biometrics (2023)