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Handling missing data in diaries of alcohol consumption

Author

Listed:
  • Nicholas T. Longford
  • Margaret Ely
  • Rebecca Hardy
  • Michael E. J. Wadsworth

Abstract

Missing data can rarely be avoided in large scale studies in which subjects are requested to complete questionnaires with many items. Analyses of such surveys are often based on the records with no missing items, resulting in a loss of efficiency and, when data are missing not at random, in bias. This paper applies the method of multiple imputation to handle missing data in an analysis of alcohol consumption of the subjects in the Medical Research Council National Survey of Health and Development. The outcomes studied are derived from the entries in diaries of food and drink intake over seven designated days. Background variables and other responses related to alcohol consumption and associated problems are used as collateral information. In conventional analyses, subpopulation means of quantities of alcohol consumed are compared. Since we are interested in the harmful effects of alcohol, we make inferences about the percentages of those who consume more than a given quantity of net alcohol. We assess the contribution to the analyses made by the incomplete records and outline a more integrated way of applying multiple imputation in large scale longitudinal surveys.

Suggested Citation

  • Nicholas T. Longford & Margaret Ely & Rebecca Hardy & Michael E. J. Wadsworth, 2000. "Handling missing data in diaries of alcohol consumption," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(3), pages 381-402.
    • Handle: RePEc:bla:jorssa:v:163:y:2000:i:3:p:381-402:b
    DOI: 10.1111/1467-985X.00174
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    Cited by:

    1. Cristina Barceló, 2008. "The impact of alternative imputation methods on the measurement of income and wealth: Evidence from the Spanish survey of household finances," Working Papers 0829, Banco de España.
    2. Anne Ludbrook & Dennis Petrie & Lynda McKenzie & Shelley Farrar, 2012. "Tackling alcohol misuse," Applied Health Economics and Health Policy, Springer, vol. 10(1), pages 51-63, January.
    3. Nicholas T. Longford & P. Tyrer & U. A. M. Nur & H. Seivewright, 2006. "Analysis of a long‐term study of neurotic disorder, with insights into the process of non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 507-523, July.

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