Daowen Zhang

Cosco, N. G. G., Wells, N. M. M., Zhang, D., Goodell, L. S., Monsur, M., Xu, T., & Moore, R. C. C. (2022). Hands-on childcare garden intervention: A randomized controlled trial to assess effects on fruit and vegetable identification, liking, and consumption among children aged 3-5 years in North Carolina. FRONTIERS IN PSYCHOLOGY, 13. https://doi.org/10.3389/fpsyg.2022.993637

Cosco, N. G., Wells, N. M., Monsur, M., Goodell, L. S., Zhang, D., Xu, T., … Moore, R. C. (2021). Research Design, Protocol, and Participant Characteristics of COLEAFS: A Cluster Randomized Controlled Trial of a Childcare Garden Intervention. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 18(24). https://doi.org/10.3390/ijerph182413066

Liu, L., Shih, Y.-C. T., Strawderman, R. L., Zhang, D., Johnson, B. A., & Chai, H. (2019). [Review of Statistical Analysis of Zero-Inflated Nonnegative Continuous Data: A Review]. STATISTICAL SCIENCE, 34(2), 253–279. https://doi.org/10.1214/18-STS681

Chen, J., Liu, L., Shih, Y.-C. T., Zhang, D., & Severini, T. A. (2016). A flexible model for correlated medical costs, with application to medical expenditure panel survey data. STATISTICS IN MEDICINE, 35(6), 883–894. https://doi.org/10.1002/sim.6743

Zhang, D., Sun, J. L., & Pieper, K. (2016). Bivariate Mixed Effects Analysis of Clustered Data with Large Cluster Sizes. STATISTICS IN BIOSCIENCES, 8(2), 220–233. https://doi.org/10.1007/s12561-015-9140-x

Bernhardt, P. W., Zhang, D., & Wang, H. J. (2015). A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 85, 37–53. https://doi.org/10.1016/j.csda.2014.11.011

Zhao, G. L., Marceau, R., Zhang, D. W., & Tzeng, J. Y. (2015). Assessing gene-environment interactions for common and rare variants with binary traits using gene-trait similarity regression. Genetics, 199(3), 695-.

Bernhardt, P. W., Wang, H. J., & Zhang, D. (2015). Statistical Methods for Generalized Linear Models with Covariates Subject to Detection Limits. Statistics in Biosciences, 7(1), 68–89. https://doi.org/10.1007/S12561-013-9099-4

Bernhardt, P. W., Wang, H. J., & Zhang, D. (2014). Flexible modeling of survival data with covariates subject to detection limits via multiple imputation. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 69, 81–91. https://doi.org/10.1016/j.csda.2013.07.027

Wang, X., Zhang, D., & Tzeng, J.-Y. (2014). Pathway-Guided Identification of Gene-Gene Interactions. ANNALS OF HUMAN GENETICS, 78(6), 478–491. https://doi.org/10.1111/ahg.12080

Chen, J., Liu, L., Zhang, D., & Shih, Y.-C. T. (2013). A flexible model for the mean and variance functions, with application to medical cost data. STATISTICS IN MEDICINE, 32(24), 4306–4318. https://doi.org/10.1002/sim.5838

Torres, P. A., Zhang, D., & Wang, H. J. (2013). Constructing Conditional Reference Charts for Grip Strength Measured with Error. In Springer Proceedings in Mathematics & Statistics (pp. 299–310). https://doi.org/10.1007/978-1-4614-7846-1_24

Yan, S., Zhang, D., Lu, W., Grifo, J. A., & Liu, M. (2012). A Semi-nonparametric Approach to Joint Modeling of A Primary Binary Outcome and Longitudinal Data Measured at Discrete Informative Times. Statistics in Biosciences, 4(2), 213–234. https://doi.org/10.1007/S12561-011-9053-2

Chen, J., Johnson, B. A., Wang, X.-Q., O'Quigley, J., Isaac, M., Zhang, D., & Liu, L. (2012). Trajectory Analyses in Alcohol Treatment Research. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 36(8), 1442–1448. https://doi.org/10.1111/j.1530-0277.2012.01748.x

Tzeng, J.-Y., Zhang, D., Pongpanich, M., Smith, C., McCarthy, M. I., Sale, M. M., … Sullivan, P. F. (2011). Studying Gene and Gene-Environment Effects of Uncommon and Common Variants on Continuous Traits: A Marker-Set Approach Using Gene-Trait Similarity Regression. AMERICAN JOURNAL OF HUMAN GENETICS, 89(2), 277–288. https://doi.org/10.1016/j.ajhg.2011.07.007

Munana, K. R., Zhang, D., & Patterson, E. E. (2010). Placebo Effect in Canine Epilepsy Trials. JOURNAL OF VETERINARY INTERNAL MEDICINE, 24(1), 166–170. https://doi.org/10.1111/j.1939-1676.2009.0407.x

LeVine, D. N., Zhang, D., Harris, T., & Vaden, S. L. (2010). The use of pooled vs serial urine samples to measure urine protein:creatinine ratios. VETERINARY CLINICAL PATHOLOGY, 39(1), 53–56. https://doi.org/10.1111/j.1939-165x.2009.00167.x

Ni, X., Zhang, D., & Zhang, H. H. (2010). Variable Selection for Semiparametric Mixed Models in Longitudinal Studies. BIOMETRICS, 66(1), 79–88. https://doi.org/10.1111/j.1541-0420.2009.01240.x

Ni, X., Zhang, H. H., & Zhang, D. (2009). Automatic model selection for partially linear models. JOURNAL OF MULTIVARIATE ANALYSIS, 100(9), 2100–2111. https://doi.org/10.1016/j.jmva.2009.06.009

Tzeng, J.-Y., Zhang, D., Chang, S.-M., Thomas, D. C., & Davidian, M. (2009). Gene-Trait Similarity Regression for Multimarker-Based Association Analysis. Biometrics, 65(3), 822–832. https://doi.org/10.1111/j.1541-0420.2008.01176.x

Zhang, D., & Quan, H. (2009). Power and sample size calculation for log-rank test with a time lag in treatment effect. STATISTICS IN MEDICINE, 28(5), 864–879. https://doi.org/10.1002/sim.3501

Sowers, M. F. R., Eyvazzadeh, A. D., McConnell, D., Yosef, M., Jannausch, M. L., Zhang, D., … Randolph, J. F., Jr. (2008). Anti-Mullerian hormone and inhibin B in the definition of ovarian aging and the menopause transition. JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 93(9), 3478–3483. https://doi.org/10.1210/jc.2008-0567

Quan, H., Zhang, D., Zhang, J., & Devlamynck, L. (2007). Analysis of a binary composite endpoint with missing data in components. STATISTICS IN MEDICINE, 26(26), 4703–4718. https://doi.org/10.1002/sim.2893

Tzeng, J.-Y., & Zhang, D. (2007). Haplotype-based association analysis via variance-components score test. AMERICAN JOURNAL OF HUMAN GENETICS, 81(5), 927–938. https://doi.org/10.1086/521558

Li, E., Zhang, D., & Davidian, M. (2007). Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data. Computational Statistics & Data Analysis, 51(12), 5776–5790. https://doi.org/10.1016/j.csda.2006.10.008

Zhang, D., Lin, X., & Sowers, M. F. (2007). Two-stage functional mixed models for evaluating the effect of longitudinal covariate profiles on a scalar outcome. BIOMETRICS, 63(2), 351–362. https://doi.org/10.1111/j.1541-0420.2006.00713.x

Lin, J., Zhang, D., & Davidian, M. (2006). Smoothing spline-based score tests for proportional hazards models. BIOMETRICS, 62(3), 803–812. https://doi.org/10.1111/j.1541-0420.2005.00521.x

Sowers, M. R., Crutchfield, M., Richards, K., Wilkin, M. K., Furniss, A., Jannausch, M., … Gross, M. (2005). Sarcopenia is related to physical functioning and leg strength in middle-aged women. JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 60(4), 486–490. https://doi.org/10.1093/gerona/60.4.486

Li, E. N., Zhang, D. W., & Davidian, M. (2004). Conditional estimation for generalized linear models when covariates are subject-specific parameters in a mixed model for longitudinal measurements. Biometrics, 60(1), 07-.

Zhang, D., Choi, D. W., Wanamaker, S., Fenton, R. D., Chin, A., Malatrasi, M., … Close, T. J. (2004). Construction and evaluation of cDNA libraries for large-scale expressed sequence tag sequencing in wheat (Triticum aestivum L.). GENETICS, 168(2), 595–608. https://doi.org/10.1534/genetics.104.034785

Zhang, D. W. (2004). Generalized linear mixed models with varying coefficients for longitudinal data. Biometrics, 60(1), 15-.

Zhang, D. W., & Davidian, M. (2004). Likelihood and conditional likelihood inference for generalized additive mixed models for clustered data. JOURNAL OF MULTIVARIATE ANALYSIS, 91(1), 90–106. https://doi.org/10.1016/j.jmva.2004.04.007

Zhang, D. W., & Lin, X. H. (2003). Hypothesis testing in semiparametric additive mixed models. Biostatistics (Oxford, England), 4(1), 57–74.

Chen, J. L., Zhang, D. W., & Davidian, M. (2002). A Monte Carlo EM algorithm for generalized linear mixed models with flexible random effects distribution. Biostatistics (Oxford, England), 3(3), 347–360.

Randomized COMparison of platelet inhibition with abciximab, TiRofiban and eptifibatide during percutaneous coronary intervention in acute coronary syndromes - The COMPARE trial. (2002). Circulation (New York, N.Y. : 1950), 106(12), 1470–1476.

Zhang, D. W., & Davidian, M. (2001). Linear mixed models with flexible distributions of random effects for longitudinal data. BIOMETRICS, 57(3), 795–802. https://doi.org/10.1111/j.0006-341X.2001.00795.x

Lin, X. H., & Zhang, D. W. (2001). Semiparametric nonlinear mixed-effects models and their applications - Comment. Journal of the American Statistical Association, 96(456), 1288–1291.

Lin, X. H., Ryan, L., Sammel, M., Zhang, D. W., Padungtod, C., & Xu, X. P. (2000). A scaled linear mixed model for multiple outcomes. Biometrics, 56(2), 593–601. https://doi.org/10.1111/j.0006-341X.2000.00593.x

Zhang, D. W., Lin, X. H., & Sowers, M. F. (2000). Semiparametric regression for periodic longitudinal hormone data from multiple menstrual cycles. BIOMETRICS, 56(1), 31–39. https://doi.org/10.1111/j.0006-341X.2000.00031.x

Lin, X. H., & Zhang, D. W. (1999). Inference in generalized additive mixed models by using smoothing splines. Journal of the Royal Statistical Society. Series B, Methodological, 61(1999), 381–400.