Analysis of incomplete durations with application to contraceptive use

Authors: Ali, Mohamed M.1; Marshall, Tom1; Babiker, Abdel G.2

Source: Journal of the Royal Statistical Society: Series A (Statistics in Society), Volume 164, Number 3, 2001 , pp. 549-563(15)

Publisher: Wiley-Blackwell

Buy & download fulltext article:

OR

Price: $48.00 plus tax (Refund Policy)

Abstract:

Models for analysing incomplete durations obtained from cross-sectional surveys are presented. The aim of the paper is to develop a framework for analysing the incomplete duration of episodes in progress at the time of the survey by formulating generalized linear models and fitting and assessing them by using standard statistical packages. The maximum quasi-likelihood method is used for model fitting. The choice of the distribution and the diagnostic procedures are discussed. Simulated data from two distributions (the Weibull and log-logistic distributions) are used to evaluate the methodology developed and to assess model misspecifications. A data set on the current use of the contraceptive pill from a cross-sectional survey in Egypt is analysed.

Keywords: Contraceptive use; Incomplete duration; Log-linear models; Log-logistic distribution; Quasi-likelihood; Weibull distribution

Document Type: Original Article

DOI: http://dx.doi.org/10.1111/1467-985X.00218

Affiliations: 1: London School of Hygiene and Tropical Medicine, UK, 2: Medical Research Council Clinical Trial Unit, London, UK

Publication date: January 1, 2001

Related content

Tools

Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page