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How to use SAS® Proc Traj and SAS® Proc Glimmix in respiratory epidemiology Arrandale, Victoria; Koehoorn, Mieke, 1966-; MacNab, Ying; Kennedy, Susan M.
Description
This document outlines the use of two procedures capable of modeling repeated respiratory symptom data in the software package SAS®: Proc Traj and Proc Glimmix. SAS® Proc Traj is a discrete mixture model which models the patterns of change over time in multiple subgroups within the population. SAS® Proc Glimmix is a procedure that fits a generalized linear model to non-linear outcome data either with or without random effects.
Item Metadata
Title |
How to use SAS® Proc Traj and SAS® Proc Glimmix in respiratory epidemiology
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Creator | |
Contributor | |
Date Issued |
2006-12
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Description |
This document outlines the use of two procedures capable of modeling repeated respiratory symptom data in the software package SAS®: Proc Traj and Proc Glimmix. SAS® Proc Traj is a discrete mixture model which models the patterns of change over time in multiple subgroups within the population. SAS® Proc Glimmix is a procedure that fits a generalized linear model to non-linear outcome data either with or without random effects.
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Extent |
459585 bytes
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Type | |
File Format |
application/pdf
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Language |
eng
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Date Available |
2008-05-14
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Provider |
Vancouver : University of British Columbia Library
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Rights |
All rights reserved
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DOI |
10.14288/1.0048205
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URI | |
Affiliation | |
Citation |
This document was produced as part of an M.Sc. thesis: Arrandale VH. An evaluation of two existing methods for analyzing longitudinal respiratory symptom data [M.Sc. Thesis]. Vancouver: University of British Columbia; 2006.
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Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty; Graduate
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Copyright Holder |
This document is licensed under the Creative Commons Attribution-Noncommercial-Share Alike 2.5 Canada License.
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Aggregated Source Repository |
DSpace
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Rights
All rights reserved