An Empirical Comparison of Statistical Methods for Missing Data in Randomized, Double-Blind, Placebo-Controlled, Phase 3 Clinical Trials for Chronic Pain and Lipid-Lowering Products-Reference-Cited by-同舟云学术

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An Empirical Comparison of Statistical Methods for Missing Data in Randomized, Double-Blind, Placebo-Controlled, Phase 3 Clinical Trials for Chronic Pain and Lipid-Lowering Products

Published:2020-06-04 Issue:6 Volume:54 Page:1416-1427
ISSN:2168-4790
Container-title:Therapeutic Innovation & Regulatory Science
language:en
Short-container-title:Ther Innov Regul Sci

Author:

Gnang Jeanine^ORCID,Kim Yoonhee,Ren Yi,Travis James,Kim Yongman

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Public Health, Environmental and Occupational Health,Pharmacology, Toxicology and Pharmaceutics (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s43441-020-00168-6.pdf

Reference22 articles.

1. International Council for Harmonization (2017) Draft ICH E9 (R1) Addendum on Estimands and Sensitivity Analysis in Clinical Trials to the Guideline on Statistical Principles for Clinical Trials (EMA/CHMP/ICH/436221/2017)

2. Rubin DB. Inference and missing data. Biometrika. 1976;63(3):581–92.

3. Little RJ. A test of missing completely at random for multivariate data with missing values. J Am Stat Assoc. 1988;83(404):1198–202.

4. Laird NM. Missing data in longitudinal studies. Stat Med. 1988;7(1–2):305–15.

5. Barnes SA, Mallinckrodt CH, Lindborg SR, Carter MK. The impact of missing data and how it is handled on the rate of false-positive results in drug development. Pharm Stat. 2008;7(3):215–25.

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