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Covariance estimators for Generalized Estimating Equations (GEE) in longitudinal analysis with small samples
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Generalized estimating equations (GEE) is a general statistical method to fit marginal models for longitudinal data in biomedical studies.
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RECEIVER OPERATING CHARACTERISTIC CURVE INFERENCE FROM A SAMPLE WITH A LIMIT OF DETECTION
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Prior distributions of material parameters for Bayesian calibration of growth and remodeling computational model of abdominal aortic wall
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract For the accurate prediction of the vascular disease progression, there is a crucial need for developing a systematic tool aimed toward patient-specific modeling.
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Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Generalized Estimating Equation (GEE) is a marginal model popularly applied for longitudinal/clustered data analysis in clinical trials or biomedical studies.
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Piecewise Negative Binomial Regression in Analyzing Hypoglycemic Events with Missing Observations
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract In diabetes clinical trials, hypoglycemia can be captured.
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A Bayesian Quantile Regression Analysis of Potential Risk Factors for Violent Crimes in USA
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Bayesian quantile regression has drawn more attention in widespread applications recently.
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A conditional likelihood approach for regression analysis using biomarkers measured with batch-specific error
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Measurement error is common in epidemiological and biomedical studies.
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Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Clustered longitudinal data are often collected as repeated measures on subjects arising in clusters.
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Modified robust variance estimator for generalized estimating equations with improved small-sample performance
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Generalized estimating equations (GEE (Biometrika 1986; 73(1):13-22) is a general statistical method to fit marginal models for correlated or clustered responses, and it uses a robust sandwich estimator to estimate the variance-covariance matrix of the regression coefficient estimates.
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