J
Joseph Sedransk
Researcher at Case Western Reserve University
Publications - 71
Citations - 1143
Joseph Sedransk is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Population & Bayesian probability. The author has an hindex of 16, co-authored 68 publications receiving 1071 citations. Previous affiliations of Joseph Sedransk include Federal Reserve System & University at Albany, SUNY.
Papers
More filters
Journal ArticleDOI
Statistical Issues for Monitoring Ecological and Natural Resources in the United States
Anthony R. Olsen,Joseph Sedransk,Don Edwards,Carol A. Gotway,Walter S. Liggett,Stephen L. Rathbun,Kenneth H. Reckhow,Linda J. Yyoung +7 more
TL;DR: A summary of existing programs' statistical designs and potential alternatives for improvement in national monitoring, leading to comprehensive monitoring in the United States are presented.
Journal ArticleDOI
Small Area Inference for Binary Variables in the National Health Interview Survey
TL;DR: In this article, a Bayesian hierarchical analysis for the desired finite population quantities was carried out to include all sources of variation in the model, and compared the hierarchical Bayes estimates to empirical Bayes.
Journal ArticleDOI
Distinguishing among Distributions Using Data from Complex Sample Designs
N. Sedransk,Joseph Sedransk +1 more
TL;DR: In this article, the authors present the statistical methodology for estimating stratum cumulative distribution functions (cdf's) when the sample is drawn according to a complex design, and examples are presented to demonstrate the expanded inference possible when estimated cdf's are used in addition to stratum means.
Journal ArticleDOI
Bayesian and Frequentist Methods for Provider Profiling Using Risk-Adjusted Assessments of Medical Outcomes
Michael Racz,Joseph Sedransk +1 more
TL;DR: A new method is proposed and compared using data used by the New York State Department of Health for its annually released reports that profile hospitals permitted to perform coronary artery bypass graft surgery, and the new Bayesian method is patterned after these.
Journal ArticleDOI
National Averages for Process and Outcome in Radiation Oncology: Methodology of the Patterns of Care Study.
TL;DR: The methodology used by the Patterns of Care Study to conduct surveys of the practice of radiation oncology that not only provide national averages for process and outcome measures but also allow comparisons among important subgroups to be compared.