An application of the mixed‐effects model and pattern mixture model to treatment groups with differential missingness suspected not‐missing‐at‐random-Reference-Cited by-同舟云学术

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An application of the mixed‐effects model and pattern mixture model to treatment groups with differential missingness suspected not‐missing‐at‐random

Published:2020-08-16 Issue:1 Volume:20 Page:93-108
ISSN:1539-1604
Container-title:Pharmaceutical Statistics
language:en
Short-container-title:Pharmaceutical Statistics

Author:

Gosho Masahiko¹^ORCID,Maruo Kazushi¹^ORCID

Affiliation:

1. Department of Biostatistics, Faculty of Medicine University of Tsukuba Tsukuba Japan

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pst.2058

Reference36 articles.

1. Inference and missing data

2. ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELS

3. Recommendations for the Primary Analysis of Continuous Endpoints in Longitudinal Clinical Trials

4. Preventing and Treating Missing Data in Longitudinal Clinical Trials

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1. Finite-sample performance of the robust variance estimator in the presence of missing data;Communications in Statistics - Simulation and Computation;2022-06-06

2. An open-label, single-arm pilot study of tocotrienols supplementation on improving memory and attention in healthy young adults;Journal of Functional Foods;2022-05

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