Zhang N, Little RJA. Subsample ignorable likelihood for accelerated failure time models with missing predictors. Lifetime Data Anal. 2014 Aug 5. Epub ahead of print.
Huang Y, Xing D, Zhang N, Chen H. Jointly Modeling Event Time and Skewed-Longitudinal Data with Missing Response and Mismeasured Covariate. J Biopharm Stat. 2014 Jun 6. Epub ahead of print.
Zhang N, Chen H, Zou Y. A joint model of binary and longitudinal data with non-ignorable missingness, with application to marital stress and late life depression. J Applied Statistics. 2014;41(5);1028-39.
Brannick MT, Zhang N. Bayesian Meta-analysis of Coefficient Alpha. Res Synthesis Methods. 2013;4(2):198-207.
Chen H, Zhang N, Lu X, Chen S. Caution regarding the choice of standard deviations to guide sample size calculations in clinical trials. Clin Trials. 2013 Aug;10(4)522-9.
Zhang N, Baker HW, Tufts M, Raymond RE, Salihu H, Elliott MR. Early childhood lead exposure and academic achievement: evidence from Detroit Public Schools (2008-2010). Am J Public Health. 2013 Mar;103(3):e72-7.
Zhang N, Little RJA. A pseudo-Bayesian approach to regression with missing covariates. Biometrics. 2012 Sep;68(3):933-42.
Little RJA, Zhang N. Subsample ignorable likelihood for regression with missing data. J R Stat Soc Ser C Appl Stat. 2011;60, 591-605.
Resnicow K, Zhang N, Vaughan R, Reddy SP, James S, Murry DM. When intraclass correlation coefficients go awry: a case study from a school-based smoking prevention study in South Africa. Am J Public Health. 2010 Sep;100(9):1714-48.
Resnicow K, Davis RE, Zhang N, Strecher VJ, Tolsma D, Calvi J, Alexander G, Anderson JP, Wiese C. Tailoring a fruit and vegetable intervention on ethnic identity: results of a randomized study. Health Psychol. 2009 Jul;28(4):394–403.