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A generalized estimating equation method for fitting autocorrelated ordinal score data with an application in horticultural research
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Parsons, Nicholas R., Edmondson, R. N. and Gilmour, S. G. (2006) A generalized estimating equation method for fitting autocorrelated ordinal score data with an application in horticultural research. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 55 (Part 4). pp. 507-524. doi:10.1111/j.1467-9876.2006.00550.x ISSN 0035-9254.
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Abstract
Generalized estimating equations for correlated repeated ordinal score data are developed assuming a proportional odds model and a working correlation structure based on a first-order autoregressive process. Repeated ordinal scores on the same experimental units, not necessarily with equally spaced time intervals, are assumed and a new algorithm for the joint estimation of the model regression parameters and the correlation coefficient is developed. Approximate standard errors for the estimated correlation coefficient are developed and a simulation study is used to compare the new methodology with existing methodology. The work was part of a project on post-harvest quality of pot-plants and the generalized estimating equation model is used to analyse data on poinsettia and begonia pot-plant quality deterioration over time. The relationship between the key attributes of plant quality and the quality and longevity of ornamental pot-plants during shelf and after-sales life is explored.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics | ||||
Journal or Publication Title: | JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS | ||||
Publisher: | BLACKWELL PUBLISHING | ||||
ISSN: | 0035-9254 | ||||
Official Date: | 2006 | ||||
Dates: |
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Volume: | 55 | ||||
Number: | Part 4 | ||||
Number of Pages: | 18 | ||||
Page Range: | pp. 507-524 | ||||
DOI: | 10.1111/j.1467-9876.2006.00550.x | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
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