Fitzmaurice GM and Laird NM. (2000). Generalized linear mixture models for handling nonignorable dropouts in longitudinal studies. Biostatistics, 1, 141-156.

Fitzmaurice GM and Laird NM. (2001). An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable dropouts. Statistics in Medicine, 20, 1009-1021.

Birmingham J and Fitzmaurice GM. (2002) A pattern-mixture model for longitudinal binary responses with nonignorable nonresponse. Biometrics, 58, 989-96.

Fitzmaurice GM. (2003). Methods for handling dropouts in longitudinal clinical trials. Statistica Neerlandica, 57, 75-99.

O’Brien LM and Fitzmaurice GM. (2004). Analysis of longitudinal multiple source binary data using generalized estimating equations. Applied Statistics, 53, 177-93.

Fitzmaurice GM, Laird NM and Ware JH. (2004). Applied Longitudinal Analysis. New York: John Wiley and Sons.

Fitzmaurice GM, Lipsitz SR, Molenberghs G and Ibrahim JG (2005). A protective estimator for longitudinal binary data with non-ignorable non-monotone missingness. J. R. Statist. Soc. Series A, 168, 723-735.

O’Brien LM and Fitzmaurice GM (2005). Regression models for the analysis of longitudinal Gaussian data from multiple sources. Statistics in Medicine, 24, 1725-1744.

Huang W and Fitzmaurice GM (2005). Analysis of unbalanced longitudinal data. J. R. Statist. Soc. Series B, 67, 135-155.

Parzen M, Lipsitz SR and Fitzmaurice GM (2005). A note on reducing the bias of the approximate Bayesian bootstrap imputation variance estimator. Biometrika, 92, 971-974.

Baker SG, Fitzmaurice GM, Freedman LS and Kramer BS (2006). Simple adjustments for randomized trials with missing or censored outcomes arising from informative covariates. Biostatistics, 7, 29-40.

Wilkins K and Fitzmaurice GM (2006). A hybrid model for non-ignorable dropout in longitudinal binary responses Biometrics, 62, 168-176.

Fitzmaurice GM, Lipsitz SR, Ibrahim JG, Gelber R and Lipshultz S (2006). Estimation in regression models for longitudinal binary data with outcome-dependent follow-up. Biostatistics, 7, 469-485.

Wilkins K, Fitzmaurice GM (2007). A marginalized pattern-mixture model for longitudinal binary data when non-response depends on unobserved responses. Biostatistics, 8, 297-305.

Fitzmaurice GM, Lipsitz SR, Ibrahim JG (2007). A note on permutation tests for variance components in multilevel generalized linear mixed models. Biometrics, 63, 942-946.

Fitzmaurice GM, Lipsitz SR, Parzen M (2007). Approximate median regression via the Box-Cox transformation. American Statistician, 61, 233-238.

Fitzmaurice GM, Davidian M, Verbeke G, Molenberghs G (2008). (Eds.) Longitudinal Data Analysis: A Handbook of Modern Statistical Methods. London: Chapman & Hall/CRC Press.

Natarajan S, Lipsitz SR, Fitzmaurice G, Moore CG, Gonin R (2008). Variance estimation in complex survey sampling for generalized linear models. Journal of the Royal Statistical Society, Series C, 57, 75-87.

Fitzmaurice GM, Ravichandran C (2008). A primer in longitudinal analysis. Circulation, 118, 2005-2010.

Lipsitz SR, Fitzmaurice GM, Ibrahim J, Sinha D, Parzen M, Lipshultz S (2009). Joint generalized estimating equations for multivariate longitudinal binary data with missing data: An application to AIDS data.  Journal of the Royal Statistical Society, Series A, 172, 3-20.

Javaras KN, Fitzmaurice GM (2009). Semiparametric regression modeling of incomplete longitudinal outcomes: Stratifying on informative missingness predictors. Statistics in Biopharmaceutical Research, 1, 48-65.

Sinha SK, Laird NM, Fitzmaurice GM (2010). Multivariate logistic regression with incomplete covariate and auxiliary information. Journal of Multivariate Analysis, 101, 2389-2397.

Fitzmaurice GM, Laird NM, Ware JH (2011). Applied Longitudinal Analysis, 2nd Edition. New Jersey:  John Wiley and Sons.

Yoon FB, Fitzmaurice GM, Lipsitz SR, Horton NJ, Laird NM, Normand, SLT  (2011). Alternative methods for testing treatment effects on the basis of multiple outcomes: Simulation and case study. Statistics in Medicine, 30, 1917-1932.

Parzen M, Ghosh S, Lipsitz S, Sinha D, Fitzmaurice GM, Mallick BK, Ibrahim JG (2011). A generalized linear mixed model for longitudinal binary data with a marginal logit link function. Annals of Applied Statistics, 5, 449-467.

Natarajan S, Lipsitz SR, Fitzmaurice GM, Sinha D, Ibrahim JG, Haas J, Gellad W (2012). An extension of the Wilcoxon Rank-Sum test for complex sample survey data. Journal of the Royal Statistical Society, Series C, 61, 653-664.

Lipsitz SR,  Fitzmaurice GM, Regenbogen SE, Sinha D, Ibrahim JG, Gawande AA (2013). Bias correction for the proportional odds logistic regression model with application to a study of surgical complications. Journal of the Royal Statistical Society, Series C, 62, 233-250.

Fitzmaurice GM, Lipsitz SR, Arriaga A, Sinha D, Greenberg C, Gawande AA (2014). Almost efficient estimation of relative risk regression. Biostatistics, 15, 745-756.

Molenberghs G, Fitzmaurice G, Kenward MG, Tsiatis A, Verbeke G (2014). Handbook of Missing Data. London: Chapman & Hall/CRC Press.

Lipsitz SR, Fitzmaurice GM, Arriaga A, Sinha D, Gawande AA. (2015). Using the jackknife for estimation in log link Bernoulli regression models. Statistics in Medicine, 34, 444-53.

Lipsitz SR, Fitzmaurice GM, Sinha D, Hevelone N, Giovannucci E, Hu JC. (2015). Testing for independence in J×K contingency tables with complex sample survey data. Biometrics, 71, 832-40.

Rader KA, Lipsitz SR, Fitzmaurice GM, Harrington DP, Parzen M, Sinha D. (2015).
Bias-corrected estimates for logistic regression models for complex surveys with application to the United States’ Nationwide Inpatient Sample. Statistical Methods in Medical Research, Aug 11. pii: 0962280215596550. [Epub ahead of print].