Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data
Author:
Affiliation:
1. Department of Biostatistics, Faculty of Medicine University of Tsukuba 1‐1‐1 Tennodai Tsukuba Ibaraki 305‐8575 Japan
2. Department of Data Science The Institute of Statistical Mathematics 10‐3 Midori‐cho Tachikawa Tokyo 190‐8562 Japan
Funder
Japan Society for the Promotion of Science
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/insr.12447
Reference37 articles.
1. The impact of missing data and how it is handled on the rate of false-positive results in drug development
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5. A comparison of bias-corrected empirical covariance estimators with generalized estimating equations in small-sample longitudinal study settings
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