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Analysis of incomplete durations with application to contraceptive use

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  • Mohamed M. Ali
  • Tom Marshall
  • Abdel G. Babiker

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.

Suggested Citation

  • Mohamed M. Ali & Tom Marshall & Abdel G. Babiker, 2001. "Analysis of incomplete durations with application to contraceptive use," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(3), pages 549-563.
    • Handle: RePEc:bla:jorssa:v:164:y:2001:i:3:p:549-563
    DOI: 10.1111/1467-985X.00218
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    Cited by:

    1. Miroslav Ristić, 2008. "A generalized semi-Pareto minification process," Statistical Papers, Springer, vol. 49(2), pages 343-351, April.
    2. Niels Keiding & Katrine Lykke Albertsen & Helene Charlotte Rytgaard & Anne Lyngholm Sørensen, 2019. "Prevalent cohort studies and unobserved heterogeneity," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 25(4), pages 712-738, October.
    3. Lars Hougaard Nielsen & Niels Keiding, 2010. "Validation of methods for identifying discontinuation of treatment from prescription data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(4), pages 707-722, August.
    4. Keiding, Niels & Fine, Jason P. & Hansen, Oluf H. & Slama, Rémy, 2011. "Accelerated failure time regression for backward recurrence times and current durations," Statistics & Probability Letters, Elsevier, vol. 81(7), pages 724-729, July.

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