Parametric models for biomarkers based on flexible size distributions
Davillas, A.; and
Andrew Jones ()
Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York
Recent advances in social-science surveys include collection of biological samples. Although biomarkers offer a large potential for social-science and economic research, they impose a number of statistical challenges, often being distributed asymmetrically with heavy tails. Using data from the UK Household Panel Survey (UKHLS), we illustrate the comparative performance of a set of flexible parametric distributions, which allow for a wide range of skewness and kurtosis: the four-parameter generalized beta of the second kind (GB2), the three-parameter generalized gamma (GG) and their three-, two- or oneparameter nested and limiting cases. Commonly used blood-based biomarkers for inflammation, diabetes, cholesterol and stress-related hormones are modelled. Although some of the three-parameter distributions nested within the GB2 outperform the latter for most of the biomarkers considered, the GB2 can be used as a guide for choosing among competing parametric distributions for biomarkers. Going â€œbeyond the meanâ€ to estimate tail probabilities, we find that GB2 performs fairly well with some disparities at the very high levels of HbA1c and Fibrinogen. Commonly used OLS models are shown to perform worse than almost all the flexible distributions.
Keywords: biomarkers; generalised beta of second kind; heavy tails; tail probabilities (search for similar items in EconPapers)
JEL-codes: C18 C52 I14 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/1805.pdf Main text (application/pdf)
Journal Article: Parametric models for biomarkers based on flexible size distributions (2018)
Working Paper: Parametric models for biomarkers based on flexible size distributions (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:yor:hectdg:18/05
Access Statistics for this paper
More papers in Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York HEDG/HERC, Department of Economics and Related Studies, University of York, York, YO10 5DD, United Kingdom. Contact information at EDIRC.
Bibliographic data for series maintained by Jane Rawlings (). This e-mail address is bad, please contact .