Confidence intervals using contrasts for regression model
A graph of confidence intervals can be used to report results from a regression model with explanatory variables asfactors. In this paper we describe a method for computing and displaying confidence intervals using weighted sum contraststo compare population means in unbalanced designs. We extend th...
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Format: | Article |
Language: | English |
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Prince of Songkla University
2009-07-01
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Series: | Songklanakarin Journal of Science and Technology (SJST) |
Subjects: | |
Online Access: | http://www.rdoapp.psu.ac.th/html/sjst/journal/31-2/0125-3395-31-2-151-156.pdf |
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author | Phattrawan Tongkumchum Don McNeil |
author_facet | Phattrawan Tongkumchum Don McNeil |
author_sort | Phattrawan Tongkumchum |
collection | DOAJ |
description | A graph of confidence intervals can be used to report results from a regression model with explanatory variables asfactors. In this paper we describe a method for computing and displaying confidence intervals using weighted sum contraststo compare population means in unbalanced designs. We extend this method to models with covariates and logistic regression models. |
first_indexed | 2024-12-12T16:32:12Z |
format | Article |
id | doaj.art-84657bde09e64e92a0b2eb21b3ab1050 |
institution | Directory Open Access Journal |
issn | 0125-3395 |
language | English |
last_indexed | 2024-12-12T16:32:12Z |
publishDate | 2009-07-01 |
publisher | Prince of Songkla University |
record_format | Article |
series | Songklanakarin Journal of Science and Technology (SJST) |
spelling | doaj.art-84657bde09e64e92a0b2eb21b3ab10502022-12-22T00:18:46ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952009-07-01312151156Confidence intervals using contrasts for regression modelPhattrawan TongkumchumDon McNeilA graph of confidence intervals can be used to report results from a regression model with explanatory variables asfactors. In this paper we describe a method for computing and displaying confidence intervals using weighted sum contraststo compare population means in unbalanced designs. We extend this method to models with covariates and logistic regression models.http://www.rdoapp.psu.ac.th/html/sjst/journal/31-2/0125-3395-31-2-151-156.pdf95% confidence intervalweighted sum contrastsunbalanced designs |
spellingShingle | Phattrawan Tongkumchum Don McNeil Confidence intervals using contrasts for regression model Songklanakarin Journal of Science and Technology (SJST) 95% confidence interval weighted sum contrasts unbalanced designs |
title | Confidence intervals using contrasts for regression model |
title_full | Confidence intervals using contrasts for regression model |
title_fullStr | Confidence intervals using contrasts for regression model |
title_full_unstemmed | Confidence intervals using contrasts for regression model |
title_short | Confidence intervals using contrasts for regression model |
title_sort | confidence intervals using contrasts for regression model |
topic | 95% confidence interval weighted sum contrasts unbalanced designs |
url | http://www.rdoapp.psu.ac.th/html/sjst/journal/31-2/0125-3395-31-2-151-156.pdf |
work_keys_str_mv | AT phattrawantongkumchum confidenceintervalsusingcontrastsforregressionmodel AT donmcneil confidenceintervalsusingcontrastsforregressionmodel |