Beydoun, May A, Kaufman, Jay S, Ibrahim, Joseph, Satia, Jessie A, Heiss, Gerardo
Abstract Background We aimed at assessing the degree of measurement error in essential fatty acid intakes from a food frequency questionnaire and the impact of correcting for such an error on...
REC, Drosophila MCM8, Drives Formation of Meiotic Crossovers (2005)
Hunter Blanton, Sarah Radford, Susan McMahan, Hutton Kearney, Joseph Ibrahim, Jeff Sekelsky
Crossovers ensure the accurate segregation of homologous chromosomes from one another during meiosis. Here, we describe the identity and function of the Drosophila melanogaster gene recombination...
Fitzmaurice, GM, Lipsitz, SR, MOLENBERGHS, Geert, IBRAHIM, Joseph
In longitudinal studies missing data are the rule not the exception. We consider the analysis of longitudinal binary data with non-monotone missingness that is thought to be non-ignorable. In this...
Fitzmaurice, GM, Lipsitz, SR, MOLENBERGHS, Geert, IBRAHIM, Joseph
In longitudinal studies missing data are the rule not the exception. We consider the analysis of longitudinal binary data with non-monotone missingness that is thought to be non-ignorable. In this...
Protective estimator for linear regression with nonignorably missing Gaussian outcomes (2004)
Lipsitz, SR, Fitzmaurice, GM, MOLENBERGHS, Geert, IBRAHIM, Joseph
We propose a method for estimating the regression parameters in a linear regression model for Gaussian data when the outcome variable is missing for some subjects and missingness is thought to be...
Protective estimator for linear regression with nonignorably missing Gaussian outcomes (2004)
Lipsitz, SR, Fitzmaurice, GM, MOLENBERGHS, Geert, IBRAHIM, Joseph
We propose a method for estimating the regression parameters in a linear regression model for Gaussian data when the outcome variable is missing for some subjects and missingness is thought to be...
Bias in estimating association parameters for longitudinal binary responses with drop-outs (2001)
Fitzmaurice, Garrett, Lipsitz, S. R., Molenberghs, Geert [904], Ibrahim, Joseph
This paper considers the impact of bias in the estimation of the association parameters for longitudinal binary responses when there are drop-outs. A number of different estimating equation...
Testing for bias in weighted estimating equations (2001)
Lipsitz, S. R., Parzen, M., Molenberghs, Geert [904], Ibrahim, Joseph
It is very common in regression analysis to encounter incompletely observed covariate information. A recent approach to analyse such data is weighted estimating equations (Robins, J. M., Rotnitzky,...
Bias in estimating association parameters for longitudinal binary responses with drop-outs (2001)
Fitzmaurice, Garrett, Lipsitz, S. R., Molenberghs, Geert [904], Ibrahim, Joseph
This paper considers the impact of bias in the estimation of the association parameters for longitudinal binary responses when there are drop-outs. A number of different estimating equation...
Testing for bias in weighted estimating equations (2001)
Lipsitz, S. R., Parzen, M., Molenberghs, Geert [904], Ibrahim, Joseph
It is very common in regression analysis to encounter incompletely observed covariate information. A recent approach to analyse such data is weighted estimating equations (Robins, J. M., Rotnitzky,...
Bias in estimating association parameters for longitudinal binary responses with drop-outs (2001)
Fitzmaurice, Garrett, Lipsitz, S. R., MOLENBERGHS, Geert, IBRAHIM, Joseph
This paper considers the impact of bias in the estimation of the association parameters for longitudinal binary responses when there are drop-outs. A number of different estimating equation...
Testing for bias in weighted estimating equations (2001)
Lipsitz, S. R., Parzen, M., MOLENBERGHS, Geert, IBRAHIM, Joseph
It is very common in regression analysis to encounter incompletely observed covariate information. A recent approach to analyse such data is weighted estimating equations (Robins, J. M., Rotnitzky,...
GEE with Gaussian estimation of the correlations when data are incomplete (2000)
Lipsitz, S. R., Molenberghs, Geert [904], Fitzmaurice, Garrett, Ibrahim, Joseph
Using a Box-Cox transformation in the analysis of longitudinal data with incomplete responses (2000)
Lipsitz, S. R., Ibrahim, Joseph, Molenberghs, Geert [904]
We analyse longitudinal data on CD4 cell counts from patients who participated in clinical trials that compared two therapeutic treatments: zidovudine and didanosine. The investigators were...
GEE with Gaussian estimation of the correlations when data are incomplete (2000)
Lipsitz, S. R., Molenberghs, Geert [904], Fitzmaurice, Garrett, Ibrahim, Joseph
Using a Box-Cox transformation in the analysis of longitudinal data with incomplete responses (2000)
Lipsitz, S. R., Ibrahim, Joseph, Molenberghs, Geert [904]
We analyse longitudinal data on CD4 cell counts from patients who participated in clinical trials that compared two therapeutic treatments: zidovudine and didanosine. The investigators were...
GEE with Gaussian estimation of the correlations when data are incomplete (2000)
Lipsitz, S. R., MOLENBERGHS, Geert, Fitzmaurice, Garrett, IBRAHIM, Joseph
Using a Box-Cox transformation in the analysis of longitudinal data with incomplete responses (2000)
Lipsitz, S. R., IBRAHIM, Joseph, MOLENBERGHS, Geert
We analyse longitudinal data on CD4 cell counts from patients who participated in clinical trials that compared two therapeutic treatments: zidovudine and didanosine. The investigators were...
Estephan, Joseph Ibrahim, --1934-
Thesis (Ph. D.)--University of Oklahoma, 1966.
A simple method for estimating a regression model for κ between a pair of raters
Stuart R. Lipsitz, John Williamson, Neil Klar, Joseph Ibrahim, Michael Parzen
Generalized linear models with a coarsened covariate
Stuart Lipsitz, Michael Parzen, Sundar Natarajan, Joseph Ibrahim, Garrett Fitzmaurice
We consider generalized linear models with a coarsened covariate. The term 'coarsened' is used here to refer to the case where the exact value of the covariate of interest is not fully observed....