Rebecca A Betensky
Chair of the Department of Biostatistics
Professor of Biostatistics
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Professional overview
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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.
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Education
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AB, Mathematics, Harvard University, Cambridge, MAPhD, Statistics, Stanford University, Stanford, CA
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Areas of research and study
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BiologyBiostatisticsNeuroepidemiologyNeurologyNeurostatisticsTranslational science
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Publications
Publications
PAX2-null secretory cell outgrowths in the oviduct and their relationship to pelvic serous cancer
Predicting sites of new hemorrhage with amyloid imaging in cerebral amyloid angiopathy
Reducing available soluble β-amyloid prevents progression of cerebral amyloid angiopathy in transgenic mice
Somatic mitochondrial DNA mutations in early Parkinson and incidental lewy body disease
Stable size distribution of amyloid plaques over the course of alzheimer disease
Supervised Bayesian latent class models for high-dimensional data
The distribution of survival times after injury
The SIST-M: Predictive validity of a brief structured clinical dementia rating interview
A novel signal processing approach for the detection of copy number variations in the human genome
Association of PGC-1alpha polymorphisms with age of onset and risk of Parkinson's disease
Calcineurin inhibition with systemic FK506 treatment increases dendritic branching and dendritic spine density in healthy adult mouse brain
Comparison of clinical subgroup aCGH profiles through pseudolikelihood ratio tests
Diagnosis of hydatidiform moles by polymorphic deletion probe fluorescence in Situ hybridization
Fallopian tube correlates of ovarian serous borderline tumors
Genome-wide comparison of paired fresh frozen and formalin-fixed paraffin-embedded gliomas by custom BAC and oligonucleotide array comparative genomic hybridization: Facilitating analysis of archival gliomas
Mosaic amplification of multiple receptor tyrosine kinase genes in glioblastoma
Primary CNS lymphoma in children and adolescents: A descriptive analysis from the International Primary CNS Lymphoma Collaborative Group (IPCG)
Reactive glia not only associates with plaques but also parallels tangles in Alzheimer's disease
Assessing Population Level Genetic Instability via Moving Average
Remote supervision of IV-tPA for acute ischemic stroke by telemedicine or telephone before transfer to a regional stroke center is feasible and safe
Spatial relation between microbleeds and amyloid deposits in amyloid angiopathy
A classic twin study of external ear malformations, including microtia
A latent class model with hidden markov dependence for array CGH data
Bone involvement predicts poor outcome in atypical meningioma: Clinical article
Genetic determinants of hearing loss associated with vestibular schwannomas