| Causal inference with multiple concurrent medications: A comparison of methods and an application in multidrug-resistant tuberculosis AA Siddique, ME Schnitzer, A Bahamyirou, G Wang, TH Holtz, GB Migliori, ... Statistical methods in medical research 28 (12), 3534-3549, 2019 | 25 | 2019 |
| Estimating treatment importance in multidrug‐resistant tuberculosis using Targeted Learning: An observational individual patient data network meta‐analysis G Wang, ME Schnitzer, D Menzies, P Viiklepp, TH Holtz, A Benedetti Biometrics 76 (3), 1007-1016, 2020 | 14 | 2020 |
| Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis Y Liu, ME Schnitzer, G Wang, E Kennedy, P Viiklepp, MH Vargas, ... Statistical methods in medical research 31 (4), 689-705, 2022 | 9 | 2022 |
| Evaluating hybrid controls methodology in early-phase oncology trials: a simulation study based on the MORPHEUS-UC trial G Wang, MP Costello, H Pang, J Zhu, HJ Helms, I Reyes-Rivera, RW Platt, ... Pharmaceutical Statistics 23 (1), 31-45, 2023 | 3 | 2023 |
| Predictive Factors of Detectable Viral Load in HIV-Infected Patients A Bouchard, F Bourdeau, J Roger, VT Taillefer, NL Sheehan, M Schnitzer, ... AIDS Research and Human Retroviruses 38 (7), 552-560, 2022 | 3 | 2022 |
| Integrating complex selection rules into the latent overlapping group Lasso for constructing coherent prediction models G Wang, S Perreault, RW Platt, R Wang, M Dorais, ME Schnitzer arXiv preprint arXiv:2206.05337, 2022 | 3* | 2022 |
| Penalized G-estimation for effect modifier selection in the structural nested mean models for repeated outcomes A Jaman, G Wang, A Ertefaie, M Bally, R Lévesque, R Platt, M Schnitzer https://arxiv.org/abs/2402.00154, 2024 | 2 | 2024 |
| A general framework for formulating structured variable selection G Wang, ME Schnitzer, T Chen, R Wang, RW Platt Transactions on Machine Learning Research, 2024 | 2* | 2024 |
| Review 1: ''Antibiotic Prescribing in Remote Versus Face-to-Face Consultations for Acute Respiratory Infections in English Primary Care: An Observational Study Using TMLE … G Wang Rapid Review/Infectious Disease, 2023 | 2 | 2023 |
| Using Effect Scores to Characterize Heterogeneity of Treatment Effects G Wang, PJ Heagerty, IJ Dahabreh Journal of American Medical Association, 2024 | 1 | 2024 |
| Causal inference under transportability assumptions for conditional relative effect measures G Wang, A Levis, J Steingrimsson, I Dahabreh https://arxiv.org/abs/2402.02702, 2024 | 1 | 2024 |
| Efficient estimation of subgroup treatment effects using multi-source data G Wang, A Levis, J Steingrimsson, I Dahabreh https://arxiv.org/abs/2402.02684, 2024 | 1 | 2024 |
| Continuous-time structural failure time model for intermittent treatment G Wang, S Liu, S Yang http://arxiv.org/abs/2401.15806, 2024 | 1 | 2024 |
| Structured Learning in Time-dependent Cox Models G Wang, Y Lian, AY Yang, RW Platt, R Wang, S Perreault, M Dorais, ... arXiv preprint arXiv:2306.12528, 2023 | 1 | 2023 |
| 基于灰色关联度的房地产市场需求影响因素分析 王冠博 中国市场, 136-137, 2014 | 1 | 2014 |
| Association between Sitting Time and Urinary Incontinence in the US population: Data from the National Health and Nutrition Examination Survey (NHANES) 2007 to 2018 D Xingpeng, Y Chi, X Liyuan, W Guanbo, L Banghua Heliyon 10 (6), 2024 | | 2024 |
| Extending Inferences from Randomized Clinical Trials to Target Populations: A Scoping Review of Transportability Methods G Wang, TWE Liao, D Furfaro, LA Celi, KSK Ma arXiv, 2024 | | 2024 |
| CausalMetaR: An R package for performing causally interpretable meta-analyses G Wang, S McGrath, Y Lian, I Dahabreh https://arxiv.org/abs/2402.04341, 2024 | | 2024 |
| CausalMetaR: an R package for causally interpretable meta-analysis Y Lian, G Wang, S McGrath, I Dahabreh The Comprehensive R Archive Network, 2024 | | 2024 |
| Non-collapsibility and Built-in Selection Bias of Hazard Ratio in Randomized Controlled Trials H Bian, M Pang, G Wang, Z Lu https://arxiv.org/abs/2401.06904, 2024 | | 2024 |
