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Alberto García-Hernandez, Teresa Pérez, María del Carmen Pardo & Dimitris Rizopoulos. (2023) A Flexible Analytical Framework for Reference-Based Imputation, Delta Adjustment and Tipping-Point Stress-Testing. Statistics in Biopharmaceutical Research 15:4, pages 781-793.
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Alessandro Noci, Marcel Wolbers, Markus Abt, Corine Baayen, Hans Ulrich Burger, Man Jin & Weining Zhao Robieson. (2023) A Comparison of Estimand and Estimation Strategies for Clinical Trials in Early Parkinson’s Disease. Statistics in Biopharmaceutical Research 15:3, pages 491-501.
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Jonathan W. Bartlett. (2023) Reference-Based Multiple Imputation—What is the Right Variance and How to Estimate It. Statistics in Biopharmaceutical Research 15:1, pages 178-186.
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Rolando Uranga, Geert Molenberghs & Sira Allende. (2022) A multiple regression imputation method with application to sensitivity analysis under intermittent missingness. Communications in Statistics - Theory and Methods 51:15, pages 5146-5161.
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Kaifeng Lu. (2021) An Alternative Implementation of Reference-Based Controlled Imputation Procedures. Statistics in Biopharmaceutical Research 13:4, pages 483-491.
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Ian White, Royes Joseph & Nicky Best. (2020) A causal modelling framework for reference-based imputation and tipping point analysis in clinical trials with quantitative outcome. Journal of Biopharmaceutical Statistics 30:2, pages 334-350.
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Fei Gao, Guanghan Liu, Donglin Zeng, Guoqing Diao, Joseph F. Heyse & Joseph G. Ibrahim. (2017) On inference of control-based imputation for analysis of repeated binary outcomes with missing data. Journal of Biopharmaceutical Statistics 27:3, pages 358-372.
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G. Frank Liu & Lei Pang. (2017) Control-Based Imputation and Delta-Adjustment Stress Test for Missing Data Analysis in Longitudinal Clinical Trials. Statistics in Biopharmaceutical Research 9:2, pages 186-194.
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Articles from other publishers (12)
Sean Yiu. (2023) Sequential linear regression for conditional mean imputation of longitudinal continuous outcomes under reference-based assumptions. Computational Statistics.
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Alberto García‐Hernandez, Teresa Pérez, María del Carmen Pardo & Dimitris Rizopoulos. (2023) An illness–death multistate model to implement delta adjustment and reference‐based imputation with time‐to‐event endpoints. Pharmaceutical Statistics.
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James R. Carpenter, Michael G. Kenward, Jonathan W. Bartlett, Tim P. Morris, Matteo Quartagno & Angela M. Wood. 2023. Multiple Imputation and its Application 2e. Multiple Imputation and its Application 2e
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Marcel Wolbers, Alessandro Noci, Paul Delmar, Craig Gower‐Page, Sean Yiu & Jonathan W. Bartlett. (2022) Standard and reference‐based conditional mean imputation. Pharmaceutical Statistics 21:6, pages 1246-1257.
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Amanda Wissler, Kelly E. Blevins & Jane E. Buikstra. (2022) Missing data in bioarchaeology II: A test of ordinal and continuous data imputation. American Journal of Biological Anthropology 179:3, pages 349-364.
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Ping-Tee Tan, Suzie Cro, Eleanor Van Vogt, Matyas Szigeti & Victoria R. Cornelius. (2021) A review of the use of controlled multiple imputation in randomised controlled trials with missing outcome data. BMC Medical Research Methodology 21:1.
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Tanayott Thaweethai, David E. Arterburn, Karen J. Coleman & Sebastien Haneuse. (2021) Robust inference when combining inverse-probability weighting and multiple imputation to address missing data with application to an electronic health records-based study of bariatric surgery. The Annals of Applied Statistics 15:1.
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Jonathan W Bartlett & Rachael A Hughes. (2020) Bootstrap inference for multiple imputation under uncongeniality and misspecification. Statistical Methods in Medical Research 29:12, pages 3533-3546.
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Xueya Cai, Jennifer S. Gewandter, Hua He, Dennis C. Turk, Robert H. Dworkin & Michael P. McDermott. (2020) Estimands and missing data in clinical trials of chronic pain treatments: advances in design and analysis. Pain 161:10, pages 2308-2320.
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Suzie Cro, Tim P. Morris, Michael G. Kenward & James R. Carpenter. (2020) Sensitivity analysis for clinical trials with missing continuous outcome data using controlled multiple imputation: A practical guide. Statistics in Medicine 39:21, pages 2815-2842.
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Baptiste Leurent, Manuel Gomes, Suzie Cro, Nicola Wiles & James R. Carpenter. (2019) Reference‐based multiple imputation for missing data sensitivity analyses in trial‐based cost‐effectiveness analysis. Health Economics 29:2, pages 171-184.
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Yongqiang Tang. (2017) On the multiple imputation variance estimator for control‐based and delta‐adjusted pattern mixture models. Biometrics 73:4, pages 1379-1387.
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