- RESEARCH PROFESSOR Preventive Medicine
- RESEARCH PROFESSOR Health Evidence and Policy
B.S., City College, CUNY
Ph.D., Rutgers University
Applied and Mathematical Statistics
ResearchAs a statistical consultant, I develop methodology, apply recently developed statistical methodology, or modify existing techniques, to present innovative methods to view the data. For example a recent study motivated the development of and comparison of statistical methods for analyzing genotype, inferred haplotype and molecular haplotype data. Analysis of data from World Trade Center responders has led to novel methodology concerning capture recapture studies.
I have a long-standing interest in detecting clustering of disease in time, with particular emphasis on the scan statistic, the maximum number of events in a sliding time window. Recent work deals detecting bioterrorism based on examining increases in common mild symptoms which are the precursor of more serious (and evident) evidences of an attack. These methods can also be applied to search for homologies in molecular sequence data.
Savitz DA, Oxman RT, Metzger KB, Wallenstein S, Stein S, Moline J, Herbert R. Epidemiologic research on man-made disasters: Strategies and implications of cohort definition for World Trade Center worker and volunteer surveillance program. Mount Sinai Journal of Medicine 2008; 75(2): 77-87.
Keller MJ, Guzman E, Hazrati E, Kasowitz K, Chesenko N, Wallenstein S, Cole AL, Cole AM, Profy A, Wira CR, Hogarty K, Herold BC. PRO 2000 Elicits a Decline in Genital Tract Immune Mediators without Compromising Intrinsic Antimicrobial Activity. AIDS 2007; 21: 467-476.
Wallenstein S, Chen J, Wetmur JG. Comparison of statistical methods for analyzing genotype, inferred haplotype and molecular haplotype data. Molecular Genetics and Metabolism 2006; 89: 270-273.
Naus J, Wallenstein S. Temporal surveillance using scan statistics. Stat Med 2006 Jan 30; 25(2): 311-324.
Chen J, Chan W, Wallenstein S, Berkowitz G, Wetmur JG. Haplotype-phenotype relationships of paraoxonase-1. Cancer Epidemiol Biomarkers Prev 2005 Mar; 14(3): 731-734.
Wallenstein S, Naus J. Scan statistics for temporal surveillance for biologic terrorism. MMWR Morb Mortal Wkly Rep 2004 Sep 24; Suppl 53: 74-78.
Su X, Wallenstein S, Bishop D. Nonoverlapping clusters: approximate distribution and application to molecular biology. Biometrics 2001 Jun; 57(2): 420-426.
Glaz J, Naus J, Wallenstein S. Scan statistics . New York, Springer; 2001.
Meier DE, Emmons CA, Wallenstein S, Quill T, Morrison RS, Cassel CK. A national survey of physician-assisted suicide and euthanasia in the United States. N Engl J Med 1998 Apr 23; 338(17): 1193-1201.
Wallenstein S, Hodge SE, Weston A. Logistic regression model for analyzing extended haplotype data. Genet Epidemiol 1998; 15(2): 173-181.
Physicians and scientists on the faculty of the Icahn School of Medicine at Mount Sinai often interact with pharmaceutical, device and biotechnology companies to improve patient care, develop new therapies and achieve scientific breakthroughs. In order to promote an ethical and transparent environment for conducting research, providing clinical care and teaching, Mount Sinai requires that salaried faculty inform the School of their relationships with such companies.
Below are financial relationships with industry reported by Dr. Wallenstein during 2012 and/or 2013. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
Other Activities: Examples include, but are not limited to, committee participation, data safety monitoring board (DSMB) membership.
Mount Sinai's faculty policies relating to faculty collaboration with industry are posted on our website at http://icahn.mssm.edu/about-us/services-and-resources/faculty-resources/handbooks-and-policies/faculty-handbook. Patients may wish to ask their physician about the activities they perform for companies.