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Modelling digit preference in fecundability studies

Ridout, Martin S., Morgan, Byron J. T. (1991) Modelling digit preference in fecundability studies. Biometrics, 47 (4). pp. 1423-1433. ISSN 0006-341X. (doi:10.2307/2532396) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:33100)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.2307/2532396

Abstract

Retrospective studies of fecundability, in which women are asked how many menstrual cycles they required to become pregnant, are often affected by problems of digit preference. A probability model for such digit preference is proposed in which misreporting favours 6 or 12 (and possibly also 3) cycles. It is assumed that in the absence of misreporting the number of cycles follows a beta-geometric distribution. The model is applied to two data sets, with clear-cut results. The inclusion of additional parameters to model misreporting can lead to substantial improvements in fit, but causes little change to the estimated parameters of the underlying beta-geometric distribution. In some cases misreporting parameters may be regarded as nuisance parameters, while in others they may be of interest. We have found estimates of these parameters to vary between different categories of women in an interpretable manner. The models may also be used to estimate the percentage of couples in any study that misreport their conception waiting time.

Item Type: Article
DOI/Identification number: 10.2307/2532396
Uncontrolled keywords: Beta-geometric distribution, contraception, digit preference, fecundability, misreporting, retrospective studies
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Q Science > QH Natural history > QH301 Biology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science
Depositing User: Byron Morgan
Date Deposited: 23 Jan 2013 13:17 UTC
Last Modified: 09 Mar 2023 11:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/33100 (The current URI for this page, for reference purposes)

University of Kent Author Information

Ridout, Martin S..

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Morgan, Byron J. T..

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