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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.
Zou, Baiming; Santos, Hudson P; Xenakis, James G; O'Shea, Mike M; Fry, Rebecca C; Zou, Fei.
Affiliation
  • Zou B; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Santos HP; School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Xenakis JG; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • O'Shea MM; Division of Neonatal-Perinatal Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Fry RC; Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Zou F; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
PLoS One ; 17(6): e0269630, 2022.
Article in En | MEDLINE | ID: mdl-35696398
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Full text: 1 Database: MEDLINE Main subject: Child Health / Infant, Extremely Premature Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans / Newborn Language: En Year: 2022 Type: Article
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Full text: 1 Database: MEDLINE Main subject: Child Health / Infant, Extremely Premature Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Child / Humans / Newborn Language: En Year: 2022 Type: Article