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Hyune Ju Kim

Researcher at Syracuse University

Publications -  39
Citations -  6131

Hyune Ju Kim is an academic researcher from Syracuse University. The author has contributed to research in topics: Linear regression & Segmented regression. The author has an hindex of 18, co-authored 37 publications receiving 5146 citations. Previous affiliations of Hyune Ju Kim include State University of New York System & National Institutes of Health.

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Nicotine alters the usual reciprocity between meal size and meal number in female rat.

Go Miyata, +4 more
- 01 Sep 2001 - 
TL;DR: Data show that nicotine alters the usual reciprocal regulation between MZ and MN and leads to a prolongation of the estrous cycle.
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Use of recombinant human soluble TNF receptor in anorectic tumor-bearing rats

Giovanni F. Torelli, +7 more
- 01 Sep 1999 - 
TL;DR: The data suggest that TNF-alpha, in addition to other cytokines, contributes to the anorexia of tumor growth, probably mediated via the hypothalamus.
Journal Article

Selecting the number of change-points in segmented line regression.

Hyune Ju Kim, +2 more
- 01 May 2009 - 
TL;DR: It is shown that, under some conditions, the number of change-points selected by the permutation procedure is consistent and compared with such information-based criterior as the Bayesian Information Criteria, the Akaike Information Criterion, and Generalized Cross Validation.
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Estimating joinpoints in continuous time scale for multiple change-point models

Binbing Yu, +3 more
- 01 Feb 2007 - 
TL;DR: Hudson's method for the multiple joinpoint model is described and compared with the computational efficiencies of the LGS method and Hudson's method and the comparisons between the proposed estimation method and several alternative approaches, especially the Bayesian joinpoint models are discussed.
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Predicting US and State-Level Cancer Counts for the Current Calendar Year: Part I – Evaluation of Temporal Projection Methods for Mortality

Huann-Sheng Chen, +10 more
- 15 Feb 2012 - 
TL;DR: In this article, a study was undertaken to evaluate the temporal projection methods that are applied by the American Cancer Society to predict 4-year-ahead projections of cancer deaths in the United States.