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

HIGHLIGHTS

• who: Baiming Zou and colleagues from the Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of have published the research work: A mixed-effects two-part model for twin-data and an application on identifying important factors associated with extremely preterm childrenu2019s health disorders, in the Journal: PLOS ONE of 11/Oct/2021
• what: The authors compare the performance of the proposed analysis method, i.e. the joint mixed-effects model which jointly tests the effect of each feature using the test statistic as described above, with the . . .
  

   

  

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