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Fan Yang

TitleAssociate Professor
InstitutionUniversity of Colorado Denver - Anschutz Medical Campus
DepartmentCSPH-Bio Info General Ops

    Collapse Research 
    Collapse research activities and funding
    R01GM108711     (CHEN, LIN)Feb 15, 2014 - May 31, 2023
    Integrative multivariate association and genomic analyses
    Role: Co-Principal Investigator

    R03CA208387     (YANG, FAN)Sep 15, 2017 - Feb 29, 2020
    Understanding causal effects of a treatment on survival in observational studies with unmeasured confounding and an application to effect of PMRT on breast cancer patients
    Role: Principal Investigator

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    Collapse selected publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Gleason KJ, Yang F, Chen LS. A robust two-sample transcriptome-wide Mendelian randomization method integrating GWAS with multi-tissue eQTL summary statistics. Genet Epidemiol. 2021 06; 45(4):353-371. PMID: 33834509.
      View in: PubMed
    2. Yang F, Gleason KJ, Wang J, Duan J, He X, Pierce BL, Chen LS. CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression. Bioinformatics. 2021 Feb 27. PMID: 33647928.
      View in: PubMed
    3. Gleason KJ, Yang F, Pierce BL, He X, Chen LS. Primo: integration of multiple GWAS and omics QTL summary statistics for elucidation of molecular mechanisms of trait-associated SNPs and detection of pleiotropy in complex traits. Genome Biol. 2020 09 11; 21(1):236. PMID: 32912334.
      View in: PubMed
    4. Yang F, Ding P. Using survival information in truncation by death problems without the monotonicity assumption. Biometrics. 2018 12; 74(4):1232-1239. PMID: 29665626.
      View in: PubMed
    5. Yang F, Wang J, The GTEx Consortium, Pierce BL, Chen LS . Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis. Genome Research. 2017; 27(11):pp.1859-1871.
    6. Yang, F and Small, DS. Using post-outcome measurement information in censoring-by-death problems. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2016; 78(1):pp.299-318.
    7. Yang, F, Lorch, SA, and Small, DS. Estimation of causal effects using instrumental variables with nonignorable missing covariates: application to effect of type of delivery NICU on premature infants. The Annals of Applied Statistics. 2014; pp.48-73.
    8. Yang F, Zubizarreta JR., Small DS, Lorch S, and Rosenbaum PR . Dissonant conclusions when testing the validity of an instrumental variable. The American Statistician. 2014; 68:pp. 253-263.
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