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James Long
Associate Professor of Biostatistics
MD Anderson Cancer Center
email: jplong + the at symbol + mdanderson.org
office: 1MC12.3486
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Background and Research Interests
I am an Associate Professor in the Department of Biostatistics at MD Anderson Cancer Center.
Before joining MD Anderson, I was an Assistant Professor in the Department of Statistics at Texas A&M University.
I received my PhD in Statistics from the University of California, Berkeley in 2013.
I am interested in causal inference and machine learning with applications to in silico perturbation modeling,
electronic health record data, and biomarkers for disease diagnosis and cancer early detection.
I collaborate with many clinicians and basic scientists at MD Anderson on projects in omics data analysis, clinical trial design, and biomarker development.
If you are a GSBS, UT Health, or Rice student interested in my research, please contact me.
Publications
See my google scholar profile for a list of publications. Code is available on github under longjp.
Selected Talks
Causal Inference with Hidden Confounding: Instrumental Variables and the Causal Dantzig. WNAR. June 10, 2024
Causal Discovery and Prediction with Interventional Data: Application to Cell Perturbation Experiments. UT Health Houston, Department of Biostatistics and Data Science Seminar. May 8, 2024. Prognostic Models in Oncology: From Feature Selection to Web Apps. University of Texas San Antonio Department of Population Health Seminar. December 4, 2023.
Causal Mediation Analysis with Non-linear Models, Multiple Mediators, and DAGs. Southern Methodist University Statistics Seminar. November 13, 2020.
Parameter Estimation for Approximate Regression Models with Heterskedastic Error. MD Anderson Biostatistics Department Seminar. September 12, 2018.
Mapping the Milky Way Halo with RR Lyrae Stars. American Academy for the Advancement of Science Annual Meeting. February 16, 2018.
Teaching
STAT 533 / GSBS 1283 - Foundations of Statistical Inference II: Spring 2020
Biostatistics 6082 - Survival Analysis: Spring 2019
Statistics 689 - Statistical Computing with R and Python: Spring 2018
Statistics 611 - Theory of Statistics II: Spring 2018
Astrostatistics: Astrostatistics course taught Fall 2016 at SAMSI.
Statistics 689 - Astrostatistics: Astrostatistics course taught Fall 2015 at TAMU.
Last updated:
September 25, 2024
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