ArticleJournal of the Royal Statistical Society. Series A, (Statistics in Society)2010
Estimating stroke-free and total life expectancy in the presence of non-ignorable missing values.
Article in Journal of the Royal Statistical Society. Series A, (Statistics in Society), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Estimating the number and length of episodes in disability using a Markov chain approach.Population health metrics · 2020Article
- The methods and materials of health expectancy.Statistical journal of the IAOS · 2014Article
- A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring.Statistics in medicine · 2013Article
- Active cognitive lifestyle is associated with positive cognitive health transitions and compression of morbidity from age sixty-five.PloS one · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.