Fraser, Raphael André; Lipsitz, Stuart R; Sinha, Debajyoti et al. (2016) Approximate median regression for complex survey data with skewed response. Biometrics 72:1336-1347
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Parzen, Michael; Ghosh, Souparno; Lipsitz, Stuart et al. (2011) A generalized linear mixed model for longitudinal binary data with a marginal logit link function. Ann Appl Stat 5:449-467
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Parikh, Ankit; Natarajan, Sundar; Lipsitz, Stuart R et al. (2011) Iron deficiency in community-dwelling US adults with self-reported heart failure in the National Health and Nutrition Examination Survey III: prevalence and associations with anemia and inflammation. Circ Heart Fail 4:599-606
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Troxel, Andrea B; Lipsitz, Stuart R; Fitzmaurice, Garrett M et al. (2010) A weighted combination of pseudo-likelihood estimators for longitudinal binary data subject to non-ignorable non-monotone missingness. Stat Med 29:1511-21
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Friedberg, Jennifer P; Lipsitz, Stuart R; Natarajan, Sundar (2010) Challenges and recommendations for blinding in behavioral interventions illustrated using a case study of a behavioral intervention to lower blood pressure. Patient Educ Couns 78:5-11
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Ding, Xiao; Laird, Nan (2009) Family-Based Association Tests with longitudinal measurements: handling missing data. Hum Hered 68:98-105
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Parikh, Ankit; Lipsitz, Stuart R; Natarajan, Sundar (2009) Association between a DASH-like diet and mortality in adults with hypertension: findings from a population-based follow-up study. Am J Hypertens 22:409-16
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Moore, Charity G; Lipsitz, Stuart R; Addy, Cheryl L et al. (2009) Logistic regression with incomplete covariate data in complex survey sampling: application of reweighted estimating equations. Epidemiology 20:382-90
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Lin, Yan; Newcombe, Robert G; Lipsitz, Stuart et al. (2009) Fully specified bootstrap confidence intervals for the difference of two independent binomial proportions based on the median unbiased estimator. Stat Med 28:2876-90
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Lipsitz, Stuart R; Fitzmaurice, Garrett M; Ibrahim, Joseph G et al. (2009) Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: An application to AIDS data. J R Stat Soc Ser A Stat Soc 172:3-20
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