On analysis of longitudinal clinical trials with missing data using reference-based imputation-Reference-Cited by-同舟云学术

On analysis of longitudinal clinical trials with missing data using reference-based imputation

Published:2016-01-29 Issue:5 Volume:26 Page:924-936
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Liu G. Frank¹,Pang Lei¹

Affiliation:

1. Late Development Clinical Biostatistics, Merck Research Laboratories, North Wales, Pennsylvania, USA

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2015.1094810

Reference14 articles.

1. A Multiple-Imputation-Based Approach to Sensitivity Analyses and Effectiveness Assessments in Longitudinal Clinical Trials

2. Carpenter, J., Kenward, M. (2007). Missing data in randomised controlled trials—A practical guide. http://www.hta.nhs.uk/nihrmethodology/reports/1589.pdf.

3. Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation

4. European Medicines Agency. (2010). Guideline on missing data in confirmatory clinical trials. http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2010/09/WC500096793.pdf.

5. Lack of Efficacy of the Substance P (Neurokinin1 Receptor) Antagonist Aprepitant in the Treatment of Major Depressive Disorder

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