Public Health Data

JIAN WANG

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STATISTICAL ANALYST/ SAS PROGRAMMER

* ***** *********** ******** *** 10 years public health work experience

Expert organizational skills, highly effective assessment and analysis skills, key planning ability

Adept at resolving or minimizing problems by identifying them in their early stages; quickly take hold of new concepts

Master Degree in Biostatistics, Master Degree in Medicine, proficient in SAS and R EDUCATION

Master Degree of Biostatistics Rutgers School of Public Health, NJ 2018 Master Degree of Medicine Peking Union Medical College (PUMC), Beijing, China 2013 CERTIFICATION

SAS Base Programming Certification

TECHNICAL SKILLS

SAS (BASE, GRAPH), R/S - P LUS, SPSS

MICROSOFT W ORD, E XCEL, OUTLOOK, POWERPOINT

EXPERIENCE

Teaching Assistant in Biostatistics, Rutgers University, NJ 09/2014 to Present

Taught ‘Intro to Biostatistics’ course, involving tutoring students with basic statistical theories, interpretation of outcomes, grading quiz and homework;

Worked on projects to create and manipulate data set, to generate high quality statistical graphs, to perform descriptive statistical analysis and statistical tests using SAS and R, including exploratory data analysis, t-test, F-test, Wilcoxon rank test, Chi-square test, logistic regression analysis, Poisson regression analysis, survival data analysis and longitudinal data analysis.

Statistical Analyst, China CDC & PUMC, Beijing, China 09/2010 to 01/2013

Taught ‘Health Statistics’ course, including teaching basic statistical theories, SAS programing, SAS outcome interpretation with linear regression analysis, logistic regression analysis, Poisson regression analysis, survival data analysis, etc;

Participated in mortality data analysis research, involving oncological data, cardiovascular diseases data, diabetes data, etc;

Worked with many Epidemiologists and Biostatisticians in China CDC on statistical analysis plans, reports, tables, listings and graphs in research, project, meeting and publication writings;

Provided statistical consultation to individuals with different statistical education backgrounds. Public Health Statistician, CDC of Jiangxi Province, Nanchang, China 07/2005 to Present

Organized and participated in many public health research related works, including statistical analysis plan, data collection and analysis, graphing, tabling, statistical report writing, etc;

Conducted time series data analysis to predict tuberculosis incidence in Jiangxi Province, with Proc ARIMA;

Participated in public health emergency events solving, with Proc Logistic;

Trained public health doctors how to use statistical software in daily work, such as SAS, SPSS, R, Excel, etc. PROJECT WORK

CXCL 17 Expression Predicts Poor Prognosis in Hepatocellular Carcinoma Rutgers SPH, 2016

STUDY : Hepatocellular Carcinoma treatments assessment program PRIMARY ENDPOINT: Recurrence-free survival (RFS)

SAS PROGRAMMING S K I L L S : Proc lifetest for log-rank, Proc phreg for hazard ratio, K-M plot with median survival time

JIAN WANG

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Analysis of Clinical Treatment Effects on Patients with Multiple Myeloma(MM) Rutgers SPH, 2015 STUDY : Evaluation of the efficacy of oral lenalidomide in combination with oral pulse high-dose dexamethasone for subjects with relapsed or refractory MM PRIMARY ENDPOINT: Adverse event number, disease status (progressive, stable, partial response, disappear)

SAS PROGRAMMING S K I L L S : Proc mixed for individual random effect, Proc genmod for counts ratio, Proc logistic for odds ratio

Determine risk factors of Coronary Heart Disease(CHD) Rutgers SPH, 2014

STUDY : CHD prevention program

PRIMARY ENDPOINT: Coronary heart disease

SAS PROGRAMMING S K I L L S : Proc univariate, Proc npar1way for continuous variable distribution, Proc freq for categorical variable distribution, Proc logistic for odds ratio

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