1986 - Member of the National Academy of Medicine (NAM)
1984 - Fellow of the American Association for the Advancement of Science (AAAS)
1976 - Fellow of the American Statistical Association (ASA)
Norman E. Breslow spends much of his time researching Wilms' tumor, Surgery, Statistics, Internal medicine and Kidney disease. His Wilms' tumor study results in a more complete grasp of Pathology. His Surgery study integrates concerns from other disciplines, such as Risk factor and Urology.
His work carried out in the field of Statistics brings together such families of science as Econometrics and Applied mathematics. Norman E. Breslow has included themes like Type 1 diabetes and Oncology in his Internal medicine study. His biological study spans a wide range of topics, including Survival rate and Nephrectomy.
His main research concerns Wilms' tumor, Internal medicine, Surgery, Statistics and Oncology. The study incorporates disciplines such as Vincristine, Radiation therapy, Chemotherapy and Kidney disease in addition to Wilms' tumor. His work is dedicated to discovering how Internal medicine, Gastroenterology are connected with Incidence and other disciplines.
His research in Surgery tackles topics such as Risk factor which are related to areas like Cumulative incidence. Many of his studies involve connections with topics such as Econometrics and Statistics. In his research, Standardized mortality ratio, Cohort study and Cohort is intimately related to Relative risk, which falls under the overarching field of Regression analysis.
Norman E. Breslow focuses on Wilms' tumor, Internal medicine, Oncology, Surgery and Radiation therapy. His work deals with themes such as Vincristine, Cancer, Chemotherapy and Kidney disease, which intersect with Wilms' tumor. While the research belongs to areas of Internal medicine, Norman E. Breslow spends his time largely on the problem of Gastroenterology, intersecting his research to questions surrounding Stage III Wilms tumor.
As a part of the same scientific study, Norman E. Breslow usually deals with the Oncology, concentrating on Breast cancer and frequently concerns with Standardized mortality ratio and Mortality rate. The various areas that Norman E. Breslow examines in his Surgery study include Urology and Hazard ratio, Confidence interval. The concepts of his Pathology study are interwoven with issues in Survival analysis and Gene expression profiling.
His scientific interests lie mostly in Wilms' tumor, Cancer, Internal medicine, Chemotherapy and Radiation therapy. His work in Wilms' tumor addresses subjects such as Surgery, which are connected to disciplines such as Disease. His Cancer research is multidisciplinary, incorporating elements of Pediatrics and Kidney disease.
His research in Internal medicine is mostly focused on Favorable histology. As a member of one scientific family, Norman E. Breslow mostly works in the field of Chemotherapy, focusing on Oncology and, on occasion, El Niño. His study looks at the relationship between Pathology and topics such as Leukemia, which overlap with Cohort.
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Approximate inference in generalized linear mixed models
N. E. Breslow;D. G. Clayton.
Journal of the American Statistical Association (1993)
Covariance analysis of censored survival data.
A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship
The analysis of failure times in the presence of competing risks.
R. L. Prentice;J. D. Kalbfleisch;A. V. Peterson;N. Flournoy.
Treatment of Wilms' tumor. Results of the Third National Wilms' Tumor Study.
Giulio J. D'angio;Norman Breslow;J. Bruce Beckwith;Audrey Evans.
Multiplicative Models and Cohort Analysis
N. E. Breslow;J. H. Lubin;P. Marek;B. Langholz.
Journal of the American Statistical Association (1983)
Bias correction in generalised linear mixed models with a single component of dispersion
Norman E. Breslow;Xihong Lin.
The treatment of Wilms' tumor. Results of the national Wilms' tumor study
Giulio J. D'Angio;Audrey E. Evans;Norman Breslow;Bruce Beckwith.
Estimators of the Mantel-Haenszel variance consistent in both sparse data and large-strata limiting models.
James Robins;Norman Breslow;Sander Greenland.
Bias Correction in Generalized Linear Mixed Models with Multiple Components of Dispersion
Xihong Lin;Norman E. Breslow.
Journal of the American Statistical Association (1996)
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