| Marginal modeling of cluster-period means and intraclass correlations in stepped wedge designs with binary outcomes F Li, H Yu, PJ Rathouz, EL Turner, JS Preisser Biostatistics 23 (3), 772-788, 2022 | 30 | 2022 |
| MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks H Yu, JD Welch Genome biology 22 (1), 158, 2021 | 24 | 2021 |
| cvcrand and cptest: Commands for efficient design and analysis of cluster randomized trials using constrained randomization and permutation tests JA Gallis, F Li, H Yu, EL Turner The Stata Journal 18 (2), 357-378, 2018 | 18 | 2018 |
| Perturbnet predicts single-cell responses to unseen chemical and genetic perturbations H Yu, JD Welch BioRxiv, 2022.07. 20.500854, 2022 | 12 | 2022 |
| cvcrand: A Package for Covariate-constrained Randomization and the Clustered Permutation Test for Cluster Randomized Trials. H Yu, F Li, JA Gallis, EL Turner R Journal 9 (2), 2019 | 9 | 2019 |
| An evaluation of quadratic inference functions for estimating intervention effects in cluster randomized trials H Yu, F Li, EL Turner Contemporary Clinical Trials Communications 19, 100605, 2020 | 3 | 2020 |
| A note on the estimation and inference with quadratic inference functions for correlated outcomes H Yu, G Tong, F Li Communications in Statistics-Simulation and Computation 51 (11), 6525-6536, 2022 | 2 | 2022 |
| Sampling from Disentangled Representations of Single-Cell Data Using Generative Adversarial Networks H Yu, JD Welch bioRxiv, 2021.01. 15.426872, 2021 | 2 | 2021 |
| A beginner's guide to single-cell transcriptomics H Lee, H Yu, J Welch The Biochemist 41 (5), 34-38, 2019 | 2 | 2019 |
| cvcrand and cptest: Efficient design and analysis of cluster randomized trials J Gallis, F Li, H Yu, EL Turner Presented July 28, 2017, 2017 | 1 | 2017 |
| Package ‘cvcrand’ H Yu, F Li, JA Gallis, EL Turner | | 2023 |
| Deep Generative Models for Single-Cell Perturbation Experiments H Yu | | 2022 |
| Covariate-constrained randomization for cluster randomized trials H Yu, F Li, JA Gallis, EL Turner | | 2020 |
| Covariate-by-covariate constrained randomization for cluster randomized trials H Yu, F Li, JA Gallis, EL Turner | | 2020 |
| CVCRAND: Stata module for efficient design and analysis of Cluster Randomized Trials JA Gallis, F Li, H Yu, EL Turner Boston College Department of Economics, 2020 | | 2020 |
| GEE and Matrix-adjusted Estimating Equations (MAEE) for Estimating the Marginal Mean and Correlation Parameters in CRTs H Yu, F Li, P Rathouz, EL Turner, J Preisser | | 2020 |
| Cluster-Period GEE for Estimating the Mean and Correlation Parameters in Cross-Sectional SW-CRTs H Yu, F Li, P Rathouz, EL Turner, J Preisser | | 2020 |
| Supplementary Material for “Marginal Modeling of Cluster-Period Means and Intraclass Correlations in Stepped Wedge Designs with Binary Outcomes” FAN LI, H YU, PJ RATHOUZ, EL TURNER, JS PREISSER | | 2020 |
