Regression analysis for ordinal longitudinal survey data with outcome subject to nonresponse : part II / Brajendra C. Sutradhar. : CS11-613/99-6E-PDF
"One of the main objectives of longitudinal analysis is to determine the changes that take place in households and families or individuals over time. One is interested to examine the effects of the associated covariates on one or more suitable response variables, after taking the longitudinal correlations into account. In this paper, a multivariate approach was developed to analyse ordinal polytomous longitudinal survey data, such as SLID data collected by Statistics Canada. This methodology has been applied to the SLID data to examine the effects of covariates such as age sex, marital status, race, education level and province of residence on the "jobless spell" response variable. The longitudinal correlations between responses for 1993 and 1994 were modelled following Lipsitz and Fitzmaurice (1996) and estimated following Sutradhar and Das (1999)"--Abstract.
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publications.gc.ca/pub?id=9.837192&sl=1
Ministère/Organisme | Canada. Statistics Canada. Methodology Branch. |
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Titre | Regression analysis for ordinal longitudinal survey data with outcome subject to nonresponse : part II / Brajendra C. Sutradhar. |
Titre de la série | Working paper ; 99-6 |
Type de publication | Série - Voir l'enregistrement principal |
Langue | [Anglais] |
Format | Électronique |
Document électronique | |
Note(s) | "SSMD-99-006 E." "Revised: March 9, 1999." Digitized edition from print [produced by Statistics Canada]. Includes bibliographic references. Prefatory material in English and French. |
Information sur la publication | [Ottawa] : Statistics Canada, 1999. |
Auteur / Contributeur | Sutradhar, Brajendra Chandra,1952- |
Description | 29 p. |
Numéro de catalogue |
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Numéro de catalogue du ministère | 11-613E |
Descripteurs | Surveys Methodology |
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