Guangying Chen

About

My research primarily focuses on two areas. The first examines the interactions between recommender systems and social media user behavior—specifically content consumption, production, and privacy protection—using field experiments and structural models. The second applies statistical and machine learning approaches to develop novel causal inference methods addressing identification challenges in business research, such as instrumental variable estimation in randomized encouragement designs when the exclusion restriction is violated.

Research topics

• Physics
• Chemistry
• Bioinformatics
• Astrophysics
• Oncology
• Medicine
• Genetics
• Radiochemistry
• Organic chemistry
• Astrobiology

Selected publications

• cit: hypothesis testing software for mediation analysis in genomic applications

  Bioinformatics · 2016-03-09 · 56 citations

  articleOpen access

  MOTIVATION: The challenges of successfully applying causal inference methods include: (i) satisfying underlying assumptions, (ii) limitations in data/models accommodated by the software and (iii) low power of common multiple testing approaches. RESULTS: The causal inference test (CIT) is based on hypothesis testing rather than estimation, allowing the testable assumptions to be evaluated in the determination of statistical significance. A user-friendly software package provides P-values and opti…

  PublisherOA PDFDOI

• Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity

  Human Genetics · 2016-05-19 · 55 citations

  article
  PublisherDOI

• A genome-wide association study of breast cancer in women of African ancestry

  UNC Libraries · 2020-11-03 · 3 citations

  articleOpen access

  Genome-wide association studies (GWAS) in diverse populations are needed to reveal variants that are more common and/or limited to defined populations. We conducted a GWAS of breast cancer in women of African ancestry, with genotyping of > 1,000,000 SNPs in 3,153 African American cases and 2,831 controls, and replication testing of the top 66 associations in an additional 3,607 breast cancer cases and 11,330 controls of African ancestry. Two of the 66 SNPs replicated (p < 0.05) in stage 2, which…

  PublisherDOI

• A comprehensive examination of breast cancer risk loci in African American women

  UNC Libraries · 2020-11-03 · 1 citations

  articleOpen access

  Genome-wide association studies have identified 73 breast cancer risk variants mainly in European populations. Given considerable differences in linkage disequilibrium structure between populations of European and African ancestry, the known risk variants may not be informative for risk in African ancestry populations. In a previous fine-mapping investigation of 19 breast cancer loci, we were able to identify SNPs in four regions that better captured risk associations in African American women.…

  PublisherDOI

• Supplementary Table 1 from Evaluating Genetic Risk for Prostate Cancer among Japanese and Latinos

  2023-03-31

  supplementary-materialsOpen access

  &lt;p&gt;PDF file, 204K, Quantile-quantile plots of test comparison for genotype frequencies in cases vs controls.&lt;/p&gt;

  PublisherDOI

Recent grants

• NIH Grant R01MH100879

  NIH · $1.5M · 2017

Frequent coauthors

• Loı̈c Le Marchand

  Cancer Center of Hawaii

  150 shared

• Laurence N. Kolonel

  110 shared

• Brian E. Henderson

  108 shared

• Christopher A. Haiman

  106 shared

• Daniel O. Stram

  67 shared

• Iona Cheng

  UCSF Helen Diller Family Comprehensive Cancer Center

  60 shared

• Kristine R. Monroe

  University of Southern California

  50 shared

• Peggy Wan

  50 shared

Education

• Ph.D., Marketing

  Olin Business School, Washington University in St. Louis

• M.A., Economics

  Tsinghua University

• B.A., Economics

  Peking University

• B.S., Statistics

  Peking University

Similar researchers at University of Southern California

• Norbert Schwarzh-140
• Robert Kozinetsh-47
• Daniel Sokolh-19