Department of Biostatistics and Epidemiology
Biostatistics; epidemiology; mass spectrometry; clinical trials.
Dirk Moore received a PhD in biostatistics from the University of Washington in Seattle and is currently an associate professor of biostatistics at the University of Medicine and Dentistry of New Jersey and at the Cancer Institute of New Jersey. Previously he was a faculty member in the Statistics Department at Temple University, and he has held visiting positions at the Radiation Effects Research Foundation in Hiroshima and at the Division of Cancer Epidemiology and Genetics at the National Cancer Institute. He is a coauthor on more than 90 publications in biostatistics, genetics, proteomics, and cancer biology.
In cancer research Dr. Moore uses cancer mortality data derived from administrative databases to study effects of treatment options on survival. For example, he has used survival analysis methods with data in the SEER-Medicare database to understand and compare treatment options, and to predict the course of prostate cancer. A widely used published result presents a set of competing risks mortality profiles for use by patients newly diagnosed with prostate cancer. Other publications of Dr. Moore’s have addressed comparison of treatment options for prostate cancer using instrumental variable analysis and propensity-matching methods and quantifying the long-term complications of alternative treatments. He has used the National Cancer Data Base to more accurately classify pancreatic cancer tumors and to study the effects of chemotherapy and radiation on the progression of pancreatic cancer. He has also collaborated extensively on the design and analysis of numerous cancer and non-cancer clinical trials. Dr. Moore collaborates on a multi-year funded project with a research group using mass spectrometry to assess protein abundance on a large scale using spectral counting, iTraq technology, and other techniques. This has yielded numerous publications identifying differential expression rates of large numbers of proteins. A notable additional project has involved using iTraq and other methodology to identify the subcellular locations of proteins. His contribution has been to develop multivariate statistical analysis methods to identify proteins that co-locate in multiple compartments. The work has culminated in a tool that researchers can use to identify these co-locations and other proteins that locate with them.
He, J., Albertsen, P., Moore, D., Rotter, D., Demissie, K., Lu-Yao, G. (2017) "Validation of a Contemporary Five-tiered Gleason Grade Grouping Using Population-based Data.", European Urology Vol. 71 http://www.ncbi.nlm.nih.gov/pubmed/?term=27939073&report=abstract
Wiseman, J., Meng, Y., Nemtsova, Y., Matteson, P., Millonig, J., Moore, D., Sleat, D., Lobel, P. (2017) "Chronic Enzyme Replacement to the Brain of a Late Infantile Neuronal Ceroid Lipofuscinosis Mouse Has Differential Effects on Phenotypes of Disease.", Molecular Therapy - Methods & Clinical Development Vol. 4 http://www.ncbi.nlm.nih.gov/pubmed/?term=28345005&report=abstract
Jadot, M., Boonen, M., Thirion, J., Wang, N., Xing, J., Zhao, C., Tannous, A., Qian, M., Zheng, H., Everett, J., Moore, D., Sleat, D., Lobel, P. (2017) "Accounting for Protein Subcellular Localization: A Compartmental Map of the Rat Liver Proteome.", Molecular & Cellular Proteomics Vol. 16 http://www.ncbi.nlm.nih.gov/pubmed/?term=27923875&report=abstract
Moore, D. F. (2016) "", Applied Survival Analysis Using R Vol. 0
Chair, Data Safety Monitoring Committee, Rutgers Cancer Institute of New Jersey
Rutgers Cancer Institute Scientific Review Board Committee
Rutgers Institutional Review Board Committee
Social Media & Websites
Google Scholar: https://scholar.google.com/citations?hl=en&user=PRJo41MAAAAJ
PubMed Profile: https://www.ncbi.nlm.nih.gov/pubmed/?term=Moore%20D%5BAuthor%5D&cauthor=true&cauthor_uid=27939073