A multiple imputation method based on weighted quantile regression models for longitudinal censored biomarker data with missing values at early visits
Abstract Background In patient-based studies, biomarker data are often subject to left censoring due to the detection limits, or to incomplete sample or data collection. In the context of longitudinal regression analysis, inappropriate handling of these issues could lead to biased parameter estimate...
Main Authors: | MinJae Lee, Mohammad H. Rahbar, Matthew Brown, Lianne Gensler, Michael Weisman, Laura Diekman, John D. Reveille |
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Format: | Article |
Language: | English |
Published: |
BMC
2018-01-01
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Series: | BMC Medical Research Methodology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12874-017-0463-9 |
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