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Statistics in Medicine|March 29, 2001
An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable drop-outsG M Fitzmaurice, N M Laird, L ShneyerBiostatistics (Oxford, England)|August 23, 2003
Generalized linear mixture models for handling nonignorable dropouts in longitudinal studiesG M Fitzmaurice, N M LairdBiometrics|March 1, 1997
Regression models for mixed discrete and continuous responses with potentially missing valuesG M Fitzmaurice, N M LairdBiometrics|September 1, 1994
Analysing incomplete longitudinal binary responses: a likelihood-based approachG M Fitzmaurice, N M Laird, S R LipsitzAmerican Journal of Epidemiology|December 1, 1995
Bivariate logistic regression analysis of childhood psychopathology ratings using multiple informantsG M Fitzmaurice, N M Laird, G E Zahner, et al.Biometrics|March 1, 1994
Performance of generalized estimating equations in practical situationsS R Lipsitz, G M Fitzmaurice, E J Orav, et al.Biometrics|March 1, 1995
A caveat concerning independence estimating equations with multivariate binary dataG M FitzmauriceRisk Analysis : an Official Publication of the Society for Risk Analysis|September 1, 1987
Thyroid cancer risk from exposure to ionizing radiation: a case study in the comparative potency modelN M LairdBiometrics|June 1, 1996
The score test for independence in R x C contingency tables with missing dataS R Lipsitz, G M FitzmauricePageof 9