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A mixed-effects two-part model for twin-data and an application on identifying important factors associated with extremely preterm children’s health disorders

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  • Baiming Zou
  • Hudson P Santos
  • James G Xenakis
  • Mike M O’Shea
  • Rebecca C Fry
  • Fei Zou

Abstract

Our recent studies identifying factors significantly associated with the positive child health index (PCHI) in a mixed cohort of preterm-born singletons, twins, and triplets posed some analytic and modeling challenges. The PCHI transforms the total number of health disorders experienced (of the eleven ascertained) to a scale from 0 to 100%. While some of the children had none of the eleven health disorders (i.e., PCHI = 1), others experienced a subset or all (i.e., 0 ≤PCHI

Suggested Citation

  • Baiming Zou & Hudson P Santos & James G Xenakis & Mike M O’Shea & Rebecca C Fry & Fei Zou, 2022. "A mixed-effects two-part model for twin-data and an application on identifying important factors associated with extremely preterm children’s health disorders," PLOS ONE, Public Library of Science, vol. 17(6), pages 1-12, June.
    • Handle: RePEc:plo:pone00:0269630
    DOI: 10.1371/journal.pone.0269630
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