Jing Cheng, MD, MS, PhD
|School||UCSF School of Dentistry|
|Department||Preventive & Restorative Dental Sciences|
|Address||3333 california street|
||2014||Project PI on Mediation Analysis in Dental Studies|
|American Statistical Association Statistics in Epidemiology Section||2012||Program Chair Elected|
||2013||UCSF PI on Instrument variable methods for longitudinal discrete data|
|University of Pennsylvania||2007||Saul Winegrad Award for Outstanding Dissertation|
|International Biometric Society||2005||ENAR Distinguished Student Paper Award|
|University of Pennsylvania||2002||GSK Scholarship Award|
|Cornell University||2002||Richard Barnes Fellowship|
|Cornell University||2000||Vincent Woo J.P. Fellowship|
|Cornell University||1999||Marion Fish Cox Fellowship|
|West China University of Medical Sciences||1994||University Outstanding Graduating Senior|
| West China University of Medical Sciences||1991
||1993||University Outstanding Student |
Dr. Cheng earned her medical degree in China, M.S. in nutrition at Cornell University in 2002, and Ph.D. in biostatistics at the University of Pennsylvania in 2006. Before joining UCSF School of Dentistry in 2010, Dr. Cheng was an Assistant Professor in Biostatistics at the University of Florida’s College of Medicine.
Dr. Cheng develops new statistical methods for complex problems in randomized trials and observational studies and is experienced in working with investigators in various fields of health sciences including dentistry and oral diseases, biomedicine, infectious diseases, pharmacogenomics, nursing, and public policy research. Dr. Cheng is currently a principal investigator (PI) on mediation analysis for dental studies at CANDO, a project to develop statistical methods to better understand how mechanisms of an intervention function and which components are more likely to succeed or fail. This research can help to understand the causal pathway/mechanism of an intervention and improve future programs by tailoring specific components of an intervention.
Dr. Cheng is also a statistician at CANDO’s Data Coordinating Center (DCC) and UCSF CTSI, where she works with investigators on study design, power analysis, randomization, statistical analysis, and the preparation of grant proposals and manuscripts.
Dr. Cheng's research interests include causal inference (instrument variables and propensity scores) with applications in clinical trials with complex issues, e.g., noncompliance, mediation with intermediate variables (biomarkers, attitude, knowledge, behaviors etc.), missing data, and outcome only observed in “survivors” etc., and in observational studies with measured and unmeasured confounding, methods for genetic association studies, categorical data analysis, longitudinal data analysis, survey design and analysis, and nonparametric statistics.
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