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Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.

BACKGROUNDCluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by th... Full description

Journal Title: BMC medical research methodology April 22, 2014, Vol.14, p.54
Main Author: Lajos, Giuliane J
Other Authors: Haddad, Samira M , Tedesco, Ricardo P , Passini, Renato , Dias, Tabata Z , Nomura, Marcelo L , Rheder, Patrícia M , Sousa, Maria H , Cecatti, Jose G , Lajos, Giuliane J
Format: Electronic Article Electronic Article
Language: English
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ID: E-ISSN: 1471-2288 ; DOI: 10.1186/1471-2288-14-54
Link: http://search.proquest.com/docview/1519837504/?pq-origsite=primo
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title: Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.
format: Article
creator:
  • Lajos, Giuliane J
  • Haddad, Samira M
  • Tedesco, Ricardo P
  • Passini, Renato
  • Dias, Tabata Z
  • Nomura, Marcelo L
  • Rheder, Patrícia M
  • Sousa, Maria H
  • Cecatti, Jose G
  • Lajos, Giuliane J
subjects:
  • Brazil–Epidemiology
  • Case-Control Studies–Epidemiology
  • Cluster Analysis–Epidemiology
  • Cross-Sectional Studies–Epidemiology
  • Data Interpretation, Statistical–Epidemiology
  • Demography–Epidemiology
  • Female–Epidemiology
  • Fetal Membranes, Premature Rupture–Epidemiology
  • Humans–Epidemiology
  • Infant Mortality–Epidemiology
  • Infant, Newborn–Epidemiology
  • Pregnancy–Epidemiology
  • Pregnancy Outcome–Epidemiology
  • Premature Birth–Epidemiology
  • Research Design–Epidemiology
  • Surveys and Questionnaires–Epidemiology
ispartof: BMC medical research methodology, April 22, 2014, Vol.14, p.54
description: BACKGROUNDCluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by the way of clustering. The purpose of this manuscript was to evaluate ICC of variables studied in the Brazilian Multicenter Study on Preterm Birth. METHODSThis was a multicenter cross-sectional study on preterm births involving 20 referral hospitals in different regions of Brazil plus a nested case-control study to assess associated factors with spontaneous preterm births. Estimated prevalence rates or means, ICC with 95% confidence intervals, design effects and mean cluster sizes were presented for more than 250 maternal and newborn variables. RESULTSOverall, 5296 cases were included in the study (4,150 preterm births and 1,146 term births). ICC ranged from
language: eng
source:
identifier: E-ISSN: 1471-2288 ; DOI: 10.1186/1471-2288-14-54
fulltext: fulltext
issn:
  • 14712288
  • 1471-2288
url: Link


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titleIntracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.
creatorLajos, Giuliane J ; Haddad, Samira M ; Tedesco, Ricardo P ; Passini, Renato ; Dias, Tabata Z ; Nomura, Marcelo L ; Rheder, Patrícia M ; Sousa, Maria H ; Cecatti, Jose G ; Lajos, Giuliane J
contributorMarba, Sergio T (correspondence author) ; Guinsburg, Ruth (record owner) ; Martinez, Francisco E ; Zotarelli, Vilma ; Gurgel, Lucio T ; Feitosa, Francisco E ; Chaves, George N ; Porto, Ana M ; Coutinho, Isabela C ; Lima, Antonio C Barbosa ; Melo, Elias F ; Leite, Débora F ; Amorim, Melania M ; Melo, Adriana S O ; Melo, Fabiana O ; Martins, Marília G ; Nunes, Marynea V ; Paiva
ispartofBMC medical research methodology, April 22, 2014, Vol.14, p.54
identifierE-ISSN: 1471-2288 ; DOI: 10.1186/1471-2288-14-54
subjectBrazil–Epidemiology ; Case-Control Studies–Epidemiology ; Cluster Analysis–Epidemiology ; Cross-Sectional Studies–Epidemiology ; Data Interpretation, Statistical–Epidemiology ; Demography–Epidemiology ; Female–Epidemiology ; Fetal Membranes, Premature Rupture–Epidemiology ; Humans–Epidemiology ; Infant Mortality–Epidemiology ; Infant, Newborn–Epidemiology ; Pregnancy–Epidemiology ; Pregnancy Outcome–Epidemiology ; Premature Birth–Epidemiology ; Research Design–Epidemiology ; Surveys and Questionnaires–Epidemiology
descriptionBACKGROUNDCluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by the way of clustering. The purpose of this manuscript was to evaluate ICC of variables studied in the Brazilian Multicenter Study on Preterm Birth. METHODSThis was a multicenter cross-sectional study on preterm births involving 20 referral hospitals in different regions of Brazil plus a nested case-control study to assess associated factors with spontaneous preterm births. Estimated prevalence rates or means, ICC with 95% confidence intervals, design effects and mean cluster sizes were presented for more than 250 maternal and newborn variables. RESULTSOverall, 5296 cases were included in the study (4,150 preterm births and 1,146 term births). ICC ranged from <0.001 to 0.965, with a median of 0.028....
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titleIntracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.
descriptionBACKGROUNDCluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by the way of clustering. The purpose of this manuscript was to evaluate ICC of variables studied in the Brazilian Multicenter Study on Preterm Birth. METHODSThis was a multicenter cross-sectional study on preterm births involving 20 referral hospitals in different regions of Brazil plus a nested case-control study to assess associated factors with spontaneous preterm births. Estimated prevalence rates or means, ICC with 95% confidence intervals, design effects and mean cluster sizes were presented for more than 250 maternal and newborn variables. RESULTSOverall, 5296 cases were included in the study (4,150 preterm births and 1,146 term births). ICC ranged from <0.001 to 0.965, with a median of 0.028....
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titleIntracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.
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22Melo, Adriana S O
23Melo, Fabiana O
24Martins, Marília G
25Nunes, Marynea V
26Paiva, Cláudio S
27Lima, Moises D
28Freire, Djacyr M
29Tristão, Edson G
30Nascimento, Denis J
31Souza, Renato T
32Menezes, Carlos A
33Aquino, Marcelo
34Vettorazzi, Janete
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36Assumpção, Augusta M B
37Guedes, Marcela A F
38Moreira, Maria E L
39Borges, Vera T
40Maia Filho, Nelson L
41Mathias, Jacinta P
42Souza, Eduardo
43Zamarian, Ana C P
44Quintana, Silvana M
45Melli, Patrícia P S
46Lotufo, Fátima A
47Uzilin, Kaliane
48Zanette, Elvira A
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50Oliveira, Tenilson A
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23Menezes, Carlos A
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25Vettorazzi, Janete
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27Assumpção, Augusta M B
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atitleIntracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.
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risdate20140422
volume14
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abstractBACKGROUNDCluster-based studies in health research are increasing. An important characteristic of such studies is the presence of intracluster correlation, typically quantified by the intracluster correlation coefficient (ICC), that indicate the proportion of data variability that is explained by the way of clustering. The purpose of this manuscript was to evaluate ICC of variables studied in the Brazilian Multicenter Study on Preterm Birth. METHODSThis was a multicenter cross-sectional study on preterm births involving 20 referral hospitals in different regions of Brazil plus a nested case-control study to assess associated factors with spontaneous preterm births. Estimated prevalence rates or means, ICC with 95% confidence intervals, design effects and mean cluster sizes were presented for more than 250 maternal and newborn variables. RESULTSOverall, 5296 cases were included in the study (4,150 preterm births and 1,146 term births). ICC ranged from <0.001 to 0.965, with a median of 0.028....
doi10.1186/1471-2288-14-54
urlhttp://search.proquest.com/docview/1519837504/
issue1
date2014-04-22