Leveraging external evidence using Bayesian hierarchical model and propensity score in the presence of covariates
Tài liệu tham khảo
Pocock, 1976, The combination of randomized and historical controls in clinical trials, J. Chronic Dis., 29, 175, 10.1016/0021-9681(76)90044-8
Lim, 2020, Reducing patient burden in clinical trials through the use of historical controls: appropriate selection of historical data to minimize risk of bias, Ther. Innov. Regul. Sci., 54, 850, 10.1007/s43441-019-00014-4
Rosenbaum, 1983, The central role of the propensity score in observational studies for causal effects, Biometrika, 70, 41, 10.1093/biomet/70.1.41
Wang, 2019, Propensity score-integrated power prior approach for incorporating real-world evidence in single-arm clinical studies, J. Biopharm. Stat., 29, 731, 10.1080/10543406.2019.1657133
Chen, 2020, Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data, J. Biopharm. Stat., 30, 508, 10.1080/10543406.2020.1730877
Wang, 2020, Propensity score-integrated composite likelihood approach for incorporating real-world evidence in single-arm clinical studies, J. Biopharm. Stat., 30, 495, 10.1080/10543406.2019.1684309
Yuan, 2019, Design of randomized controlled confirmatory trials using historical control data to augment sample size for concurrent controls, J. Biopharm. Stat., 29, 558, 10.1080/10543406.2018.1559853
Lin, 2018, Propensity score matched augmented controls in randomized clinical trials: a case study, Pharm. Stat., 17, 629
Xu, 2020, A study design for augmenting the control group in a randomized controlled trial: a quality process for interaction among stakeholders, Ther. Innov. Regul. Sci., 54, 269, 10.1007/s43441-019-00053-x
Lin, 2021, Incorporating propensity scores for evidence synthesis under bayesian framework: review and recommendations for clinical studies, J. Biopharm. Stat., 1
Liu, 2021, Propensity-score-based meta-analytic predictive prior for incorporating real-world and historical data, Stat. Med, 40, 4794, 10.1002/sim.9095
Neuenschwander, 2010, Summarizing historical information on controls in clinical trials, Clin. Trials, 7, 5, 10.1177/1740774509356002
Ibrahim, 2000, Power prior distributions for regression models, Stat. Sci., 46
Duan, 2006, Evaluating water quality using power priors to incorporate historical information, Environmetrics, 17, 95, 10.1002/env.752
Neuenschwander, 2009, A note on the power prior, Stat. Med., 28, 3562, 10.1002/sim.3722
Hobbs, 2011, Hierarchical commensurate and power prior models for adaptive incorporation of historical information in clinical trials, Biometrics, 67, 1047, 10.1111/j.1541-0420.2011.01564.x
Han, 2017, Covariate-adjusted borrowing of historical control data in randomized clinical trials, Pharm. Stat., 16, 296, 10.1002/pst.1815
Fu, 2023, Covariate handling approaches in combination with dynamic borrowing for hybrid control studies, Pharm. Stat., 22, 585, 10.1002/pst.2297
Pirracchio, 2015, Improving propensity score estimators’ robustness to model misspecification using super learner, Am. J. Epidemiol., 181, 108, 10.1093/aje/kwu253
Lee, 2010, Improving propensity score weighting using machine learning, Stat. Med., 29, 337, 10.1002/sim.3782
Austin, 2011, An introduction to propensity score methods for reducing the effects of confounding in observational studies, Multivar. Behav. Res., 46, 399, 10.1080/00273171.2011.568786
Rosenbaum, 1987, Model-based direct adjustment, J. Am. Stat. Assoc., 82, 387, 10.1080/01621459.1987.10478441
Lunceford, 2004, Stratification and weighting via the propensity score in estimation of causal treatment effects: a comparative study, Stat. Med., 23, 2937, 10.1002/sim.1903
McCandless, 2009, Bayesian propensity score analysis for observational data, Stat. Med., 28, 94, 10.1002/sim.3460
Spanakis, 2022, Addressing statistical issues when leveraging external control data in pediatric clinical trials using Bayesian dynamic borrowing, J. Biopharm. Stat., 1, 10.1080/10543406.2022.2152833
Lin, 2022, Matching within a hybrid RCT/RWD: framework on associated causal estimands, J. Biopharm. Stat., 1, 10.1080/10543406.2022.2036992
Inman, 1989, The overlapping coefficient as a measure of agreement between probability distributions and point estimation of the overlap of two normal densities, Commun. Stat. Theor. Methods, 18, 3851, 10.1080/03610928908830127
Schmidli, 2014, Robust meta-analytic-predictive priors in clinical trials with historical control information, Biometrics, 70, 1023, 10.1111/biom.12242