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Estimating stroke‐free and total life expectancy in the presence of non‐ignorable missing values

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  • Ardo Van Den Hout
  • Fiona E. Matthews

Abstract

Summary. A continuous time three‐state model with time‐dependent transition intensities is formulated to describe transitions between healthy and unhealthy states before death. By using time continuously, known death times can be taken into account. To deal with possible non‐ignorable missing states, a selection model is proposed for the joint distribution of both the state and whether or not the state is observed. To estimate total life expectancy and its subdivision into life expectancy in health and ill health, the three‐state model is extrapolated beyond the follow‐up of the study. Estimation of life expectancies is illustrated by analysing data from a longitudinal study of aging where individuals are in a state of ill health if they have ever experienced a stroke. Results for the selection model are compared with results for a model where states are assumed to be missing at random and with results for a model that ignores missing states.

Suggested Citation

  • Ardo Van Den Hout & Fiona E. Matthews, 2010. "Estimating stroke‐free and total life expectancy in the presence of non‐ignorable missing values," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 331-349, April.
    • Handle: RePEc:bla:jorssa:v:173:y:2010:i:2:p:331-349
    DOI: 10.1111/j.1467-985X.2009.00610.x
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    References listed on IDEAS

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    1. Paul S. Albert & Dean A. Follmann, 2003. "A Random Effects Transition Model For Longitudinal Binary Data With Informative Missingness," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(1), pages 100-111, February.
    2. Grant Izmirlian & Dwight Brock & Luigi Ferrucci & Caroline Phillips, 2000. "Active Life Expectancy from Annual Follow–Up Data with Missing Responses," Biometrics, The International Biometric Society, vol. 56(1), pages 244-248, March.
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    1. Wanneveich, Mathilde & Jacqmin-Gadda, Hélène & Dartigues, Jean-François & Joly, Pierre, 2018. "Projections of health indicators for chronic disease under a semi-Markov assumption," Theoretical Population Biology, Elsevier, vol. 119(C), pages 83-90.

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