PENGFEI LI

Tel: 813-***-**** (Cell phone)

E-mail: acdbg8@r.postjobfree.com

Computer and software skills: Microsoft office suite, SAS, R.

Database and statistics analysis summary:

Design database

Process raw data

Conduct statistical analyses

Compose statistical analysis report

Provide high quality list, table, graph

EDUCATION

MPH Candidate at Department of Epidemiology and Biostatistics,

College of Public

Health, University of South Florida (proposed

graduate in May 2014).

Ph.D. Sep.1992-July 1995, Pharmacology, Chinese Academy of

Medical Sciences

and Peking Union Medical College, P. R. China.

MS, Sep. 1986 - July 1989, Pharmacology, Inner Mongolia Medical

University, China.

MD, Sep. 1981 - July 1986, Medicine, Inner Mongolia Medical

University, China.

RELATED COURSE WORK

Biostatistics I-II Biostatistical Inference I

PH Database Management Survival Analysis

Computer Application for PH Biostatistics Case Studies and

Researchers Consulting

Intermediate SAS Epidemiology

Design and Conduct of Clinical Principles of Health Policy and

Trial Management

Applied Linear Regression Environmental and Occupational Health

Categorical Data Analysis Social and Behavioral Sciences Applied

to Health

PROFESSIONAL POSITION

Apr. 2008 - Present: Research Associate, Department of Molecular

Medicine,

University of South Florida, College of

Medicine, Tampa, Florida, USA

May. 2005 - Mar. 2008: Research Associate, Department of

Internal Medicine, University

of South Florida, College of Medicine,

Tampa, Florida, USA

Aug. 1999 - Apr. 2005: Fellowship, Department of Pathology,

University of South

Florida College of Medicine, Tampa,

Florida, USA

DATABASE AND STATISTICS ANALYSIS PROJECTS

Database work: Created data dictionary, designed Access Database and

established annotated case report forms.

Clinical trial design: Designed protocol including study outline, schema,

stratification, randomization, sample size/power evaluation, data analysis.

SEER database: Performed breast cancer survival analysis using SEER

database. Kaplan Meier, Log-Rank test, Cox modeling.

Medical student residency survey data analysis: Step1 and Step 2 scores,

rank-in class, membership and other variables to predict residency

selection in a five-year study. Statistics methods include t-test, chi-

square test, ANOVA.

Environment factors and dengue disease: Mixed effect was used to analyze

the repeated longitudinal data.

References: Available if needed.

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