Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio

Abstract Objectives: to propose the use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio, including possible confounders. Methods: data from 26 singleton pregnancies with gestational age at birth between 37 and 42 weeks were analyzed. The placentas...

Full description

Bibliographic Details
Main Authors: Fidel Ernesto Castro Morales, Anna Cecília Queiroz de Medeiros
Format: Article
Language:English
Published: Instituto Materno Infantil de Pernambuco 2016-03-01
Series:Revista Brasileira de Saúde Materno Infantil
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292016000100067&lng=en&tlng=en
_version_ 1811321204075659264
author Fidel Ernesto Castro Morales
Anna Cecília Queiroz de Medeiros
author_facet Fidel Ernesto Castro Morales
Anna Cecília Queiroz de Medeiros
author_sort Fidel Ernesto Castro Morales
collection DOAJ
description Abstract Objectives: to propose the use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio, including possible confounders. Methods: data from 26 singleton pregnancies with gestational age at birth between 37 and 42 weeks were analyzed. The placentas were collected immediately after delivery and stored under refrigeration until the time of analysis, which occurred within up to 12 hours. Maternal data were collected from medical records. A Bayesian hierarchical model was proposed and Markov chain Monte Carlo simulation methods were used to obtain samples from distribution a posteriori. Results: the model developed showed a reasonable fit, even allowing for the incorporation of variables and a priori information on the parameters used. Conclusions: new variables can be added to the modelfrom the available code, allowing many possibilities for data analysis and indicating the potential for use in research on the subject.
first_indexed 2024-04-13T13:13:52Z
format Article
id doaj.art-47ec18524904489f86218735f273ec54
institution Directory Open Access Journal
issn 1806-9304
language English
last_indexed 2024-04-13T13:13:52Z
publishDate 2016-03-01
publisher Instituto Materno Infantil de Pernambuco
record_format Article
series Revista Brasileira de Saúde Materno Infantil
spelling doaj.art-47ec18524904489f86218735f273ec542022-12-22T02:45:32ZengInstituto Materno Infantil de PernambucoRevista Brasileira de Saúde Materno Infantil1806-93042016-03-01161677010.1590/1806-93042016000100008S1519-38292016000100067Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratioFidel Ernesto Castro MoralesAnna Cecília Queiroz de MedeirosAbstract Objectives: to propose the use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio, including possible confounders. Methods: data from 26 singleton pregnancies with gestational age at birth between 37 and 42 weeks were analyzed. The placentas were collected immediately after delivery and stored under refrigeration until the time of analysis, which occurred within up to 12 hours. Maternal data were collected from medical records. A Bayesian hierarchical model was proposed and Markov chain Monte Carlo simulation methods were used to obtain samples from distribution a posteriori. Results: the model developed showed a reasonable fit, even allowing for the incorporation of variables and a priori information on the parameters used. Conclusions: new variables can be added to the modelfrom the available code, allowing many possibilities for data analysis and indicating the potential for use in research on the subject.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292016000100067&lng=en&tlng=enPeso ao nascerPlacentaAnálise estatística de dados
spellingShingle Fidel Ernesto Castro Morales
Anna Cecília Queiroz de Medeiros
Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
Revista Brasileira de Saúde Materno Infantil
Peso ao nascer
Placenta
Análise estatística de dados
title Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
title_full Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
title_fullStr Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
title_full_unstemmed Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
title_short Use of a Bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
title_sort use of a bayesian hierarchical model to study the allometric scaling of the fetoplacental weight ratio
topic Peso ao nascer
Placenta
Análise estatística de dados
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292016000100067&lng=en&tlng=en
work_keys_str_mv AT fidelernestocastromorales useofabayesianhierarchicalmodeltostudytheallometricscalingofthefetoplacentalweightratio
AT annaceciliaqueirozdemedeiros useofabayesianhierarchicalmodeltostudytheallometricscalingofthefetoplacentalweightratio