ArticleStatistics in medicine2017
Segmented polynomials for incidence rate estimation from prevalence data.
Article in Statistics in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Monitoring progress towards the first UNAIDS 90-90-90 target in key populations living with HIV in Norway.BMC infectious diseases · 2020Article
- Estimating and projecting the number of new HIV diagnoses and incidence in Spectrum's case surveillance and vital registration tool.AIDS (London, England) · 2019Article
- Syphilis prevalence trends in adult women in 132 countries - estimations using the Spectrum Sexually Transmitted Infections model.Scientific reports · 2018Article
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Authors and funding
2 authors.
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Abstract
The study considers the problem of estimating incidence of a non remissible infection (or disease) with possibly differential mortality using data from a(several) cross-sectional prevalence survey(s). Fitting segmented polynomial models is proposed to estimate the incidence as a function of age, using the maximum likelihood method. The approach allows automatic search for optimal position of knots, and model selection is performed using the Akaike information criterion. The method is applied to simulated data and to estimate HIV incidence among men in Zimbabwe using data from both the NIMH Project Accept (HPTN 043) and Zimbabwe Demographic Health Surveys (2005-2006). Copyright © 2016 John Wiley & Sons, Ltd.
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