Phone: 850-***-**** Email: firstname.lastname@example.org
*** ******* **, ******, *********, 01821, MA
Three Years Experience in SAS Programming and statistical analysis with solid background in statistics, clinical trials and math.
Florida State University, Tallahassee, Florida, USA M.S. in Biostatistics 08/2013~05/2015
Shanghai University, Shanghai, China
B.S. in Mathematics and Applied Mathematics 08/2008~07/2012 GPA: 3.240
SAS Base/Advanced Programmer Certificate for SAS 9 PROFECTIONAL EXPERIENCE
DataTek, Fairfax VA 06/2015 ~ Present
Statistical SAS Programmer
Prepare documents and test required programs for generating analyses datasets and deliverable results; Design statistical summary tables; Create and modify SAS macros for validation, analysis and report generation; Generate ISS and ISE analysis datasets and TLFs.
Solid experience in clinical trial study. Strong Knowledge of oncology study.
Experienced in creating SDTM dataset by following SDTM implementation guideline.
Created Adam datasets based on SDTM datasets following spec.
Excellent experience in creating tables, listings and graphs via sorting, merging, transposing, sgplot and import/export by using PROC SORT, MERGE, PROC SQL, PROC TRANSPOSE, PROC SGPLOT PROC IMPORT, and PROC EXPORT.
Proficient in creating ISS and ISE analysis Datasets.
Cross-validated programs and compared outputs by using PROC COMPARE.
Followed standard macro and modified macro to create tables, listings and graphs.
Strong experience with SAS/ODS to export different formats including RTF, HTML, PDF etc.
Conducted regression, correlation studies and analyses of variance by using PROC LOGISTIC, PROC GLM, PROC ANOVA and PROC LIFETEST.
Environment: SAS V9, Windows 7 Server, UNIX, Microsoft Office 2007 2
Florida State University 08/2013 ~ 05/2015
The Effect of Risk Factors on Coronary Heart Disease (meta analysis using SAS)
Established the first multivariate regression model using logistic method
Found the interaction among risk factors using the stepwise selection
Tested confounder and interaction using the Mantel-Haenszel and Breslow-Day methods
Successfully found the heterogeneity among the three independent studies and obtained a synthesized odds ratio using meta analysis
Walmart Sales Forecast
Used R to draw a scatter plot and fit a tentative model
Added some polynomial terms in order to increase R square
Did model diagnostics and boxplot to find outliers
Used box-cox and power transformation to make residual to white noise process
Simplified the model using stepwise regression
MTX Prophylactic Treatment Effect on Time to Acute Graft Versus Host Disease
(survival analysis by using SAS)
Fitted a Cox model to provide an unadjusted estimate of the effect of MTX on time to AGVHD
Examined the effect of MTX on time to AGVHD after adjusting for risk group by encoding
Tested interaction between MTX and risk group using likelihood ratio test
Used forward selection to determine best model to test MTX effect on occurrence of AGVHD
I am an excellent basketball, soccer, Ping-pong, and badminton player. I also like outdoor sports, such like hiking and fishing.
Available upon request