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Lei Nie Ph.D.

Academic Title: Assistant Professor
Primary Appointment: University of Maryland Baltimore County
Secondary Appointments: Epidemiology & Public Health
Additional Title(s): Mathematical Statistician
lei.nie@fda.hhs.gov
Location: Building 21, White Oak, 10903 New Hampshire Ave, SIlver Spring, MD 20993 3601
Phone: (301) 796-2422

Personal History:

Mathematical Statistician,Office of Biostatistics, CDER, FDA, Silver Spring, MD, (2007 - present)

Assistant professor and Director of Graduate Study, Department of Biostatistics, Georgetown University (2005-2007):

Assistant Professor: University of Maryland Baltimore County (2002-2005)

Research Interests:

Biostatistics, Clincal trial, Epidemiology, Statistical genomics

Publications:

(Selected from a total of 52 peer-reviewed journal papers, including two Letters to the Editor)

Nie L, Chen Y, Chu H. Asymptotic Variances of Maximum Likelihood Estimator for the Correlation Coefficient from a BVN Distribution with One Variable Subject to Censoring. Journal of Statistical Planning and Inference 2010; in press.

Plugge CM, Scholten JC, Culley DE, Nie L, Brockman FJ, Zhang W. Global transcriptomics analysis of Desulfovibrio vulgaris lifestyle change from syntrophic growth with Methanosarcina barkeri to sulfate reducer. Microbiology 2010; In press.

Nie L, Chu H, Liu C, Cole S, Vexler A, Schisterman, EF. Linear Regression With an Independent Variable Subject to a Detection Limit. Epidemiology 2010; 21: S17-S24.

Nie L, Soon G. A covariate-adjustment regression model approach to noninferiority margin definition. Stat Med 2010; 29: 1107-1113.

Nie L, Chu H, Li F, Cole SR. Relative excess risk due to interaction: resampling-based confidence intervals. Epidemiology 2010; 21: 552-556.

Zhang W, Li F, Nie L. Integrating multiple 'omics' analysis for microbial biology: application and methodologies. Microbiology 2010; 156: 287-301.

Nie L. Re: "Methods of covariate selection: directed acyclic graphs and the change-in-estimate procedure". Am J Epidemiol 2009; 170: 1320 (letter to the Editor);

Cole SR, Chu HT, Nie L. Nonparametric estimator of relative time with application to the Acyclovir Prevention Trial. Clinical Trials 2009; 6: 320-328.

Cole SR, Chu H, Nie L, Schisterman EF. Estimating the odds ratio when exposure has a limit of detection. Int J Epidemiol 2009; 38: 1674-1680.

Nie L, Chu H, Cheng Y, Spurney C, Nagaraju K, Chen J. Marginal and conditional approaches to multivariate variables subject to limit of detection. J Biopharm Stat 2009; 19: 1151-1161.

Nie L, Chu H, Feng S. Estimating variance parameters from multivariate normal variables subject to limit of detection: MLE, REML, or Bayesian approaches? Stat Med 2009; 28: 2605-2616.

Chu H, Nie L. A few remarks on "A capture-recapture approach for screening using two diagnostic tests with availability of disease status for the test positives only" by Bohning and Patilea. J Am Stat Assoc 2008; 103:1518-9

Nie L, Chu HT, Korostyshevskiy VR. Bias reduction for nonparametric correlation coefficients under the bivariate normal copula assumption with known detection limits. Canadian Journal of Statistics-Revue Canadienne De Statistique 2008; 36: 427-442

Poston RS, Gu JY, White C, Jeudy J, Nie L, Brown J, Gammie J, Pierson RN, Romar L, Griffith BP. Perioperative management of aspirin resistance after off-pump coronary artery bypass grafting: possible role for aprotinin. Transfusion 2008; 48: 39s-46s.

Li RZ, Nie L. Efficient statistical inference procedures for partially nonlinear models and their applications. Biometrics 2008; 64: 904-911.

Nie L, Wu G, Zhang W. Statistical application and challenges in global gel-free proteomic analysis by mass spectrometry. Crit Rev Biotechnol 2008; 28: 297-307.

Li R, Nie L. A new estimation procedure for a partially nonlinear model via a mixed-effects approach. Canadian Journal of Statistics-Revue Canadienne De Statistique 2007; 35: 399-411.

Nie L. Convergence rate of MLE in generalized linear and nonlinear mixed-effects models: Theory and applications. Journal of Statistical Planning and Inference 2007; 137: 1787-1804.

Nie L, Chu H, Cole SR. A general approach for sample size and statistical power calculations assessing of interventions using a mixture model in the presence of detection limits. Contemp Clin Trials 2006; 27: 483-491.

Nie L, Wu G, Brockman FJ, Zhang W. Integrated analysis of transcriptomic and proteomic data of Desulfovibrio vulgaris: zero-inflated Poisson regression models to predict abundance of undetected proteins. Bioinformatics 2006; 22: 1641-1647.

Nie L, Wu G, Zhang W. Correlation of mRNA expression and protein abundance affected by multiple sequence features related to translational efficiency in Desulfovibrio vulgaris: a quantitative analysis. Genetics 2006; 174: 2229-2243.

Nie L. Strong consistency of the maximum likelihood estimator in generalized linear and nonlinear mixed-effects models. Metrika 2006; 63: 123-143.

Nie L, Yang M. Strong Consistency of MLE in Nonlinear Mixed-effects Models with large cluster size. Sankhya 2005; 7: 736-763.

Nie L, Parameter Estimation in Ascertainment Adjustment in Complex Diseases, Genetics Epidemiology, Letter to the Editor, 2003, 25(4): 388-391

Vonesh EF, Wang H, Nie L, Majumdar D. Conditional second-order generalized estimating equations for generalized linear and nonlinear mixed-effects models. J Am Stat Assoc 2002; 97: 271-283.