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Biometrics|May 24, 2003
Marginal analyses of clustered data when cluster size is informativeJohn M Williamson, Somnath Datta, Glen A SattenBiometrics|August 21, 2003
Estimation of the size of an open population using local estimating equations II: a partially parametric approachHsin-Chou Yang, Richard Huggins, Austina S S ClarkBiometrics|August 22, 2006
Nonparametric statistical methods for cost-effectiveness analysesPhillip Dinh, Xiao-Hua ZhouBiometrics|May 16, 2008
Using empirical likelihood to combine data: application to food risk assessmentAmélie Crépet, Hugo Harari-Kermadec, Jessica TressouBiometrics|September 11, 2007
A comparison of two bias-corrected covariance estimators for generalized estimating equationsBing Lu, John S Preisser, Bahjat F Qaqish, et al.Biometrics|April 12, 2007
Determining the number of clusters using the weighted gap statisticMingjin Yan, Keying YeBiometrics|April 29, 2009
Bayesian models for multiple outcomes nested in domainsSally W Thurston, David Ruppert, Philip W DavidsonBiometrics|August 14, 2009
Incorporating correlation for multivariate failure time data when cluster size is largeL Xue, L Wang, A QuBiometrics|April 29, 2026
A novel exact confidence interval for the difference of proportions in paired data using a restricted most probable statisticXingyun Cao, Weizhen Wang, Tianfa XieBiometrics|April 17, 2026
Measurement error-robust causal inference via constructed instrumental variablesCaleb H Miles, Linda Valeri, Brent CoullPageof 558