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Statistics in Biopharmaceutical Research Volume 12, 2020 - Issue 1
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Estimands and Missing Data

A General Framework for Treatment Effect Estimators Considering Patient Adherence

Yongming QuEli Lilly and Company, Indianapolis, IN;
,
Haoda FuEli Lilly and Company, Indianapolis, IN;
,
Junxiang LuoSanofi, Bridgewater, NJ;
&
Stephen J. RubergAnalytix Thinking, LCC, Indianapolis, INCorrespondence[email protected]
Pages 1-18 | Received 24 Sep 2018, Accepted 26 Nov 2019, Published online: 21 Jan 2020

Citations (14)

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Read on this site (4)

Yongming Qu, Ilya Lipkovich & Stephen J. Ruberg. (2023) Assessing the Commonly Used Assumptions in Estimating the Principal Causal Effect in Clinical Trials. Statistics in Biopharmaceutical Research 15:4, pages 812-819.
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Camila Olarte Parra, Rhian M. Daniel & Jonathan W. Bartlett. (2023) Hypothetical Estimands in Clinical Trials: A Unification of Causal Inference and Missing Data Methods. Statistics in Biopharmaceutical Research 15:2, pages 421-432.
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Ying Zhang, Haoda Fu, Stephen J. Ruberg & Yongming Qu. (2022) Statistical Inference on the Estimators of the Adherer Average Causal Effect. Statistics in Biopharmaceutical Research 14:3, pages 392-395.
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Ilya Lipkovich, Bohdana Ratitch & Craig H. Mallinckrodt. (2020) Causal Inference and Estimands in Clinical Trials. Statistics in Biopharmaceutical Research 12:1, pages 54-67.
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Articles from other publishers (10)

Yongming Qu, Robin D. White & Stephen J. Ruberg. (2022) Accurate Collection of Reasons for Treatment Discontinuation to Better Define Estimands in Clinical Trials. Therapeutic Innovation & Regulatory Science 57:3, pages 521-528.
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Ilya Lipkovich, Bohdana Ratitch, Yongming Qu, Xiang Zhang, Mingyang Shan & Craig Mallinckrodt. (2022) Using principal stratification in analysis of clinical trials. Statistics in Medicine 41:19, pages 3837-3877.
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C. Fletcher, N. Hefting, M. Wright, J. Bell, J. Anzures-Cabrera, D. Wright, H. Lynggaard & A. Schueler. (2022) Marking 2-Years of New Thinking in Clinical Trials: The Estimand Journey. Therapeutic Innovation & Regulatory Science 56:4, pages 637-650.
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Junxiang Luo, Stephen J. Ruberg & Yongming Qu. (2021) Estimating the treatment effect for adherers using multiple imputation. Pharmaceutical Statistics 21:3, pages 525-534.
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Luke Keele & Richard Grieve. (2021) Contrasting approaches for addressing non-adherence in randomized controlled trials: An illustration from the REFLUX trial. Clinical Trials 19:1, pages 97-106.
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Jack Bowden, Björn Bornkamp, Ekkehard Glimm & Frank Bretz. (2021) Connecting Instrumental Variable methods for causal inference to the Estimand Framework. Statistics in Medicine 40:25, pages 5605-5627.
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Yongming Qu & Ilya Lipkovich. (2021) Implementation of ICH E9 (R1): A Few Points Learned During the COVID-19 Pandemic. Therapeutic Innovation & Regulatory Science 55:5, pages 984-988.
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Björn Bornkamp, Kaspar Rufibach, Jianchang Lin, Yi Liu, Devan V. Mehrotra, Satrajit Roychoudhury, Heinz Schmidli, Yue Shentu & Marcel Wolbers. (2021) Principal stratum strategy: Potential role in drug development. Pharmaceutical Statistics 20:4, pages 737-751.
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Yongming Qu, Linda Shurzinske & Shanthi Sethuraman. (2020) Defining estimands using a mix of strategies to handle intercurrent events in clinical trials. Pharmaceutical Statistics 20:2, pages 314-323.
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Yongming Qu, Junxiang Luo & Stephen J. Ruberg. (2020) Implementation of tripartite estimands using adherence causal estimators under the causal inference framework. Pharmaceutical Statistics 20:1, pages 55-67.
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