Bias and Accuracy of Glomerular Filtration Rate Estimating Equations in the US
Sign Up to like & getrecommendations! Published in 2024 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2024.1127
Abstract: This systematic review and meta-analysis assesses bias and accuracy in glomerular filtration rate estimating equations across various adult populations in the US. read more here.
Keywords: bias accuracy; filtration rate; rate estimating; accuracy glomerular ... See more keywords
Performance of mixed effects models and generalized estimating equations for continuous outcomes in partially clustered trials including both independent and paired data
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DOI: 10.1002/sim.10201
Abstract: Many clinical trials involve partially clustered data, where some observations belong to a cluster and others can be considered independent. For example, neonatal trials may include infants from single or multiple births. Sample size and… read more here.
Keywords: sample size; size; estimating equations; performance ... See more keywords
Robust and efficient estimating equations for longitudinal data partial linear models and its applications
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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… read more here.
Keywords: longitudinal data; partial linear; robust efficient; estimating equations ... See more keywords
Smooth-threshold estimating equations for partially linear additive models based on modal regression
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2025.2563088
Abstract: We study variable selection for partially linear additive models based on smooth-threshold estimating equations and modal regression. Employing B-spline basis functions to approximate the non-parametric component, we convert the semi-parametric model into a parametric model.… read more here.
Keywords: threshold estimating; estimating equations; modal regression; smooth threshold ... See more keywords
Dimension reduction in estimating equations with covariates missing at random
Sign Up to like & getrecommendations! 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… read more here.
Keywords: dimension; dimension reduction; covariates missing; estimating equations ... See more keywords
The race coefficient in glomerular filtration rate-estimating equations and its removal
Sign Up to like & getrecommendations! 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… read more here.
Keywords: race coefficient; race; nephrology; estimating equations ... See more keywords
Biostatistics of generalized estimating equations in developmental medicine and child neurology.
Sign Up to like & getrecommendations! Published in 2025 at "Developmental medicine and child neurology"
DOI: 10.1111/dmcn.70060
Abstract: This review provides clinicians and researchers in developmental medicine and paediatric neurology with a guide to using generalized estimating equations (GEEs) for longitudinal paediatric data. We present a concise primer on core GEE concepts for… read more here.
Keywords: child; neurology; estimating equations; generalized estimating ... See more keywords
Semiparametric generalized estimating equations for repeated measurements in cross-over designs.
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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… read more here.
Keywords: parametric component; cross designs; estimating equations; generalized estimating ... See more keywords
Generalized Estimating Equations Boosting (GEEB) machine for correlated data
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DOI: 10.1186/s40537-023-00875-5
Abstract: Rapid development in data science enables machine learning and artificial intelligence to be the most popular research tools across various disciplines. While numerous articles have shown decent predictive ability, little research has examined the impact… read more here.
Keywords: geeb machine; equations boosting; estimating equations; machine ... See more keywords