Teng Fei, PhD

Assistant Attending Biostatistician
Epidemiology & Biostatistics
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Teng Fei, PhD

Assistant Attending Biostatistician
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Teng Fei

Email

[email protected]

Education

Emory University

Current Research Interest

Dr. Fei’s research interests are in the development of latent class analysis methods for joint longitudinal and time-to-event data, and batch effect adjustment methods for omics data. His current research interests also include developing novel statistical methods for microbiome data preprocessing and data analysis. Dr. Fei collaborates with researchers in the Bone Marrow Transplant Service in supporting microbiota-related studies.

Publications

Selected peer-reviewed publications:

  1. Fei T, Hanfelt JJ, Peng L. Evaluating the association between latent classes and competing risks outcomes with multi-phenotype data. Biometrics. 2021 Sep 17. PMID: 3453289.
  2. Hart KR, Fei T, Hanfelt JJ. Scalable and robust latent trajectory class analysis using artificial likelihood. Biometrics. 2021 Sep 8; 77(3): 1118-1128. PMID: 32896901. 
  3. Tian S, Switchenko J, Fei T, Press RH, Abugideiri M, Saba NF, Owonikoko TK, Chen AY, Beitler JJ, Curran WJ, Gillespie T, Higgins KA. Survival Advantage of Chemoradiotherapy in Anaplastic Thyroid Carcinoma: Propensity Score Matched Analysis with Multiple Subgroups. Head and Neck. 2020 Mar 18; 42: 678-687. PMID: 31845469.
  4. Fei T, Yu T. scBatch: Batch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment. Bioinformatics. 2020 Feb 13; 36(10):3115-3123. PMID: 32053185.
  5. Fei T, Zhang T, Shi W, Yu T. Mitigating the adverse impact of batch effects in sample pattern detection. Bioinformatics. 2018 Mar 1; 34(15):2634-2641. PMID: 29506177.

Disclosures

Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.

MSK requires doctors and faculty members to report (“disclose”) the relationships and financial interests they have with external entities. As a commitment to transparency with our community, we make that information available to the public.

Teng Fei discloses the following relationships and financial interests:

No disclosures meeting criteria for time period


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This page and data include information for a specific MSK annual disclosure period (January 1, 2021 through disclosure submission in spring 2022). This data reflects interests that may or may not still exist. This data is updated annually.

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