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The Joinpoint-Jump and Joinpoint-Comparability Ratio Model for Trend Analysis with Applications to Coding Changes in Health Statistics Cover

The Joinpoint-Jump and Joinpoint-Comparability Ratio Model for Trend Analysis with Applications to Coding Changes in Health Statistics

Journal of Official Statistics
Volume 36 (2020): Issue 1 (March 2020)
By: Huann-Sheng Chen,  Sarah Zeichner,  Robert N. Anderson,  David K. Espey,  Hyune-Ju Kim and  Eric J. Feuer  
Open Access
|Mar 2020

Authors

Huann-Sheng Chen

Huann-Sheng.Chen@nih.gov

Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda

Sarah Zeichner

szeichner@caltech.edu

Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena

Robert N. Anderson

rca7@cdc.gov

Division of Vital Statistics, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville

David K. Espey

dke0@cdc.gov

Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Albuquerque

Hyune-Ju Kim

hjkim@syr.edu

Department of Mathematics, Syracuse University, Syracuse

Eric J. Feuer

feuerr@mail.nih.gov

Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda
DOI: https://doi.org/10.2478/jos-2020-0003 | Journal eISSN: 2001-7367
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Language: English
Page range: 49 - 62
Submitted on: Mar 1, 2019
|
Accepted on: Nov 1, 2019
|
Published on: Mar 17, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Joinpoint model,
international classification of diseases (ICD),
trend analysis,
coding change,
cancer staging system,
comparability ratio
Related subjects:
Mathematics,
Probability and statistics

© 2020 Huann-Sheng Chen, Sarah Zeichner, Robert N. Anderson, David K. Espey, Hyune-Ju Kim, Eric J. Feuer, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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