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Rebecca A Betensky

Rebecca Betensky

Rebecca Betensky

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Chair of the Department of Biostatistics

Professor of Biostatistics

Professional overview

Prior to NYU, Dr. Betensky was Professor of Biostatistics at the Harvard T.H. Chan School of Public Health. She was director of the Harvard Catalyst (Clinical and Translational Science Award) Biostatistics Program; director of the Data and Statistics Core for the Massachusetts Alzheimer’s Disease Research Center; and director of the Biostatistics Neurology Core at Massachusetts General Hospital. Previously, she was the Biostatistics Program Leader for the Dana-Farber/Harvard Cancer Center.

Dr. Betensky’s research focuses on methods for the analysis of censored and truncated outcomes and covariates, which frequently arise from the subsampling of cohort studies. She has a long-time interest in clinical trials, and has written on the evaluation of biomarkers and the use and interpretation of p-values. She has collaborated extensively in studies in neurologic diseases, and serves as statistical editor for Annals of Neurology.

Dr. Betensky was awarded, and directed for 15 years, an NIH T32 training program in neurostatistics and neuroepidemiology for pre- and post-doctoral students in biostatistics and epidemiology and for clinician-scientists. She previously directed Harvard’s Biostatistics programs to promote and support diversity at all levels in the field of quantitative public health. She was also a member of the BMRD Study Section for review of NIH statistical methodology grants; on committees for the Institute of Medicine; and a co-chair of the technical advisory committee for the scientific registry of transplant recipients.

Dr. Betensky an elected Fellow of the American Statistical Association and of the International Statistical Institute, and is a past recipient of the Spiegelman Award from the American Public Health Association. She currently serves as a member of the Board of Scientific Counselors for Clinical Science and Epidemiology at the National Cancer Institute.

Education

AB, Mathematics, Harvard University, Cambridge, MA
PhD, Statistics, Stanford University, Stanford, CA

Areas of research and study

Biology
Biostatistics
Neuroepidemiology
Neurology
Neurostatistics
Translational science

Publications

Publications

Primary leptomeningeal lymphoma : International Primary CNS lymphoma collaborative group report

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Reply to Sabanés Bové and Held's "Comment on Cai and Betensky (2003), On the Poisson Approximation for Hazard Regression"

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Tau causes synapse loss without disrupting calcium homeostasis in the rTg4510 model of tauopathy

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A novel signal processing approach for the detection of copy number variations in the human genome

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Application of futility analysis to refine jitter recordings in myasthenia gravis

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Calcineurin activation causes retinal ganglion cell degeneration

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Corelease of dopamine and GABA by a retinal dopaminergic neuron

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Digital quantification of precursor frequency in the fallopian tube and its significance

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Gain of chromosome arm 1q in atypical meningioma correlates with shorter progression-free survival

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Genetic risk factors in Parkinson's disease : Single gene effects and interactions of genotypes

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Hazard Regression Models of Early Mortality in Trauma Centers

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Identification of tissue contamination by polymorphic deletion probe fluorescence in situ hybridization

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Imperfect gold standards for kidney injury biomarker evaluation

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Inhibition of the NFAT pathway alleviates amyloid beta neurotoxicity in a mouse model of Alzheimer's disease

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Orchestrated experience-driven Arc responses are disrupted in a mouse model of Alzheimer's disease

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PAX2-null secretory cell outgrowths in the oviduct and their relationship to pelvic serous cancer

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Predicting sites of new hemorrhage with amyloid imaging in cerebral amyloid angiopathy

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Reducing available soluble β-amyloid prevents progression of cerebral amyloid angiopathy in transgenic mice

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Somatic mitochondrial DNA mutations in early Parkinson and incidental lewy body disease

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Stable size distribution of amyloid plaques over the course of alzheimer disease

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Supervised Bayesian latent class models for high-dimensional data

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The distribution of survival times after injury

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The SIST-M : Predictive validity of a brief structured clinical dementia rating interview

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A novel signal processing approach for the detection of copy number variations in the human genome

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Association of PGC-1alpha polymorphisms with age of onset and risk of Parkinson's disease

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Contact

rebecca.betensky@nyu.edu 708 Broadway New York, NY, 10003