Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants

10.1186/s12887-017-0921-x

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Main Authors: Koller-Smith, L.I.M, Shah, P.S, Ye, X.Y
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/181261
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spelling sg-nus-scholar.10635-1812612023-09-13T21:21:28Z Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants Koller-Smith, L.I.M Shah, P.S Ye, X.Y DUKE-NUS MEDICAL SCHOOL adult adverse outcome area under the curve Article brain injury chronic lung disease cohort analysis controlled study female gestational age human male mortality necrotizing enterocolitis population research prematurity retinopathy risk factor small for date infant validation study very low birth weight Australia benchmarking Canada comparative study decision support system epidemiology hospital mortality infant infant mortality New Zealand newborn newborn intensive care prognosis receiver operating characteristic retrospective study selection bias statistical model Sweden Area Under Curve Australia Benchmarking Canada Decision Support Techniques Female Gestational Age Hospital Mortality Humans Infant Infant Mortality Infant, Extremely Premature Infant, Newborn Infant, Premature Infant, Premature, Diseases Infant, Small for Gestational Age Infant, Very Low Birth Weight Intensive Care, Neonatal Male Models, Statistical New Zealand Prognosis Retrospective Studies Risk Factors ROC Curve Selection Bias Sweden 10.1186/s12887-017-0921-x BMC Pediatrics 17 1 166 2020-10-27T10:23:03Z 2020-10-27T10:23:03Z 2017 Article Koller-Smith, L.I.M, Shah, P.S, Ye, X.Y (2017). Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants. BMC Pediatrics 17 (1) : 166. ScholarBank@NUS Repository. https://doi.org/10.1186/s12887-017-0921-x 14712431 https://scholarbank.nus.edu.sg/handle/10635/181261 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic adult
adverse outcome
area under the curve
Article
brain injury
chronic lung disease
cohort analysis
controlled study
female
gestational age
human
male
mortality
necrotizing enterocolitis
population research
prematurity
retinopathy
risk factor
small for date infant
validation study
very low birth weight
Australia
benchmarking
Canada
comparative study
decision support system
epidemiology
hospital mortality
infant
infant mortality
New Zealand
newborn
newborn intensive care
prognosis
receiver operating characteristic
retrospective study
selection bias
statistical model
Sweden
Area Under Curve
Australia
Benchmarking
Canada
Decision Support Techniques
Female
Gestational Age
Hospital Mortality
Humans
Infant
Infant Mortality
Infant, Extremely Premature
Infant, Newborn
Infant, Premature
Infant, Premature, Diseases
Infant, Small for Gestational Age
Infant, Very Low Birth Weight
Intensive Care, Neonatal
Male
Models, Statistical
New Zealand
Prognosis
Retrospective Studies
Risk Factors
ROC Curve
Selection Bias
Sweden
spellingShingle adult
adverse outcome
area under the curve
Article
brain injury
chronic lung disease
cohort analysis
controlled study
female
gestational age
human
male
mortality
necrotizing enterocolitis
population research
prematurity
retinopathy
risk factor
small for date infant
validation study
very low birth weight
Australia
benchmarking
Canada
comparative study
decision support system
epidemiology
hospital mortality
infant
infant mortality
New Zealand
newborn
newborn intensive care
prognosis
receiver operating characteristic
retrospective study
selection bias
statistical model
Sweden
Area Under Curve
Australia
Benchmarking
Canada
Decision Support Techniques
Female
Gestational Age
Hospital Mortality
Humans
Infant
Infant Mortality
Infant, Extremely Premature
Infant, Newborn
Infant, Premature
Infant, Premature, Diseases
Infant, Small for Gestational Age
Infant, Very Low Birth Weight
Intensive Care, Neonatal
Male
Models, Statistical
New Zealand
Prognosis
Retrospective Studies
Risk Factors
ROC Curve
Selection Bias
Sweden
Koller-Smith, L.I.M
Shah, P.S
Ye, X.Y
Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
description 10.1186/s12887-017-0921-x
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Koller-Smith, L.I.M
Shah, P.S
Ye, X.Y
format Article
author Koller-Smith, L.I.M
Shah, P.S
Ye, X.Y
author_sort Koller-Smith, L.I.M
title Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
title_short Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
title_full Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
title_fullStr Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
title_full_unstemmed Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
title_sort comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/181261
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