Fang Wang

Education

· University of Chicago, Chicago, IL 09/2008-12/2009

M.S. in Statistics

· Univ. of Sci. and Tech. of China (USTC), Hefei, Anhui, China 09/2002-06/2006

B.S. in Mathematics

Professional Experience

Survey Statistician II – NORC, Chicago, IL 12/2011 - Present

Survey Statistician I – NORC, Chicago, IL 12/2009 - 12/2011

· Principle Investigator of NORC internal research project “Improving NORC Hot Deck Imputation Procedure”: improved NORC sequential hotdeck imputation procedure (solved three major limitations which have been existed for 15 years); programmer of NORCSuite Impute SAS macros; developed NORC multiple hot deck imputation; developed complex survey imputation sort variable selection.

· Conducted disclosure risk analysis for National Immunization Survey, National H1N1 Flu Survey using missing pattern analysis; drafted NIS public use file data user’s guide.

· Conducted National Immunization Survey model selection for landline and cell phone dual frame weighting.

· Implemented unweighted and weighted sequential hot deck imputation and iterative model based predictive mean multiple imputation for Residential Energy Survey, Survey of Doctorate Recipient, Survey of Earned Doctorate, and NIS.

· Developed SAS macros of linear and logistic regression model selection for complex survey data using Proc Surveyreg/Surveylogistic; developed SAS macros for model variable singularity test; implemented model selection for National Former Prisoner Survey.

· Develop SAS programs for survey frame building, stratification, sampling, imputation, weighting post stratification and data analysis for Survey of Doctorate Recipient, computed and simulated response rate; wrote and edited sampling section of SDR survey methodology reports.

· Developed a SAS macro to generate Hadmard matrix based replicate factors for complex survey variance estimation; developed SAS macros for data skip pattern checking.

Graduate Research Assistant – NORC, Chicago, IL 06/2009-12/2009

· Predicted US number of children in a household using Bayesian methods and logistic models, researched relationships between number of children in a household and family income, mother’s education, mother’s age, race/ethnicity.

Research Assistant – Computation Institute, Argonne National Lab and U Chicago, Chicago, IL 05/2009-12/2009

· Modeled yearly global population and urban rural classification using Time Series models, sampling methods and simulation.

· Predicted US land use change using discrete choice models and Bayesian methods.

· Developed R programs for Economic and GIS data cleaning, transformation and mapping.

Teaching Assistant –Department of Statistics, U Chicago, Chicago, IL 01/2009-06/2009

· Worked as TA and Grader of undergraduate statistical courses.

Statistical Consultant–Department of Statistics, U Chicago, Chicago, IL 01/2009-06/2009

· Consulted statistical problems in projects of biology, psychology and sociology departments.

Teaching Assistant **–Department of Mathematics, USTC*, Hefei, Anhui, China 09/2006-01/2007**

· TA of linear algebra; instructed problem sessions.

Conference Coordinator, Pacific Rim Complex Geometry Conference at USTC* 06/2006-08/2006

· Helped the chair with activity scheduling, wrote and translated conference materials, and answered attendant’s questions.

Programming and Software Skills

· Languages and Applications: R, SAS, SUDAAN, Excel, ArcGIS, HTML,SQL, Mathematica, Matlab, MS Office

· Operating System: Linux/Unix, Windows

Selected Awards

· 2011 Midwest SAS User Group Jr. Professional Award (Full Scholarship)

· 2011 NORC Center for Excellent Survey Research R&D Award (serve as Principle Investigator)

· 2010 NORC Spot Award (for Survey of Doctorate Recipient)

Publication

· “SAS model selection macros for complex survey data using Proc Surveylogistic/Surveyreg”. Proceeding of Midwest SAS User Group meeting 2011

· NORCSuite Impute: Distance based two way search hot deck imputation with SAS IML

Software Download

· http://home.uchicago.edu/~wangfang/publication/