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Published in 2020 at "Statistical Papers"
DOI: 10.1007/s00362-020-01181-5
Abstract: Composite quantile regression (CQR) is a good alternative of the mean regression, because of its robustness and efficiency. In longitudinal data analysis, correlation structure plays an important role in improving efficiency. However, how to specify…
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Keywords:
longitudinal data;
partial linear;
robust efficient;
estimating equations ... See more keywords
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Published in 2018 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2018.1438610
Abstract: ABSTRACT To estimate parameters defined by estimating equations with covariates missing at random, we consider three bias-corrected nonparametric approaches based on inverse probability weighting, regression and augmented inverse probability weighting. However, when the dimension of…
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Keywords:
dimension;
dimension reduction;
covariates missing;
estimating equations ... See more keywords
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Published in 2022 at "Current Opinion in Nephrology and Hypertension"
DOI: 10.1097/mnh.0000000000000833
Abstract: Purpose of review To review new publications about the use of the race coefficient in glomerular filtration rate (GFR)-estimating equations since this topic was last reviewed a year ago in Current Opinion in Nephrology and…
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Keywords:
race coefficient;
race;
nephrology;
estimating equations ... See more keywords
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Published in 2022 at "Statistical methods in medical research"
DOI: 10.1177/09622802231158736
Abstract: A model for cross-over designs with repeated measures within each period was developed. It was obtained using an extension of generalized estimating equations that includes a parametric component to model treatment effects and a non-parametric…
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Keywords:
parametric component;
cross designs;
estimating equations;
generalized estimating ... See more keywords