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Journal of Clinical Epidemiology|May 6, 2004
Methods to evaluate risks for composite end points and their individual componentsRobert J Glynn, Bernard RosnerOphthalmic Epidemiology|May 10, 2012
Regression methods when the eye is the unit of analysisRobert J Glynn, Bernard RosnerBiometrics|October 1, 2010
Power and sample size estimation for the clustered wilcoxon testBernard Rosner, Robert J GlynnStatistics in Medicine|April 6, 2006
Interval estimation for rank correlation coefficients based on the probit transformation with extension to measurement error correction of correlated ranked dataBernard Rosner, Robert J GlynnStatistics in Medicine|April 12, 2017
Estimation of rank correlation for clustered dataBernard Rosner, Robert J GlynnStatistics in Medicine|October 20, 2004
Multiple imputation to estimate the association between eyes in disease progression with interval-censored dataRobert J Glynn, Bernard RosnerAmerican Journal of Epidemiology|October 7, 2005
Comparison of risk factors for the competing risks of coronary heart disease, stroke, and venous thromboembolismRobert J Glynn, Bernard RosnerOphthalmic Epidemiology|April 9, 2009
Evaluation of risk factors for cataract types in a competing risks frameworkRobert J Glynn, Bernard Rosner, William G ChristenInvestigative Ophthalmology & Visual Science|July 3, 2024
Tutorial on Biostatistics: Sample Size and Power Calculation for Ophthalmic Studies With Correlated Binary Eye OutcomesGui-Shuang Ying, Robert J Glynn, Bernard RosnerBiometrics|March 18, 2006
The Wilcoxon signed rank test for paired comparisons of clustered dataBernard Rosner, Robert J Glynn, Mei-Ling T LeePageof 86