Zhang Y, Chen H, Zhang N. Bayesian Inference for Nonresponse Two-phase Sampling. Journal of Official Statistica Sinica. 2018;28:2167-87.
Zhang N, Cheng S, Ambroggio L, Florin TA, Macaluso M. Accounting for misclassification bias of binary outcomes due to under-screening: a sensitivity analysis. BMC Medical Research Methodology. 2017;17(1):168.
Zhang N, Chen H, Elliott MR. Nonrespondent Subsample Multiple Imputation in Two-phase Sampling for Nonresponse. Journal of Official Statistics. 2016;32(3):769-785.
Wade SL, Zhang N, Yeates KO, Stancin T, Taylor HG. Social Environmental Moderators of Long-term Functional Outcomes of Early Childhood Brain Injury. JAMA Pediatrics. 2016;170(4):343-9.
Zhang N, Little RJA. Subsample ignorable likelihood for accelerated failure time models with missing predictors. Lifetime Data Anal. 2015;21(3):457-69.
Kang J, Zhang N, Shi R. A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug-resistance tuberculosis (MDR-TB) study. Biometrics. 2014;70(4):981-92.
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.
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.