Preventive strategies and factors associated with surgically treated necrotising enterocolitis in extremely preterm infants: an international unit survey linked with retrospective cohort data analysis
Sign Up to like & getrecommendations! Published in 2019 at "BMJ Open"
DOI: 10.1136/bmjopen-2019-031086
Abstract: Objectives To compare necrotising enterocolitis (NEC) prevention practices and NEC associated factors between units from eight countries of the International Network for Evaluation of Outcomes of Neonates, and to assess their association with surgical NEC… read more here.
Keywords: surgical nec; survey; necrotising enterocolitis; cohort ... See more keywords
Causal graphs for the analysis of genetic cohort data.
Sign Up to like & getrecommendations! Published in 2020 at "Physiological genomics"
DOI: 10.1152/physiolgenomics.00115.2019
Abstract: The increasing availability of genetic cohort data has led to many Genome Wide Association Studies (GWASs) successfully identifying genetic associations with an ever-expanding list of phenotypic traits. Association, however, does not imply causation and therefore… read more here.
Keywords: genetic cohort; analysis; causal; cohort data ... See more keywords
Reward systems for cohort data sharing: An interview study with funding agencies
Sign Up to like & getrecommendations! Published in 2023 at "PLOS ONE"
DOI: 10.1371/journal.pone.0282969
Abstract: Data infrastructures are being constructed to facilitate cohort data sharing. These infrastructures are anticipated to increase the rate of data sharing. However, the lack of data sharing has also been framed as being the consequence… read more here.
Keywords: data sharing; cohort data; funding agencies; interview study ... See more keywords
Policies to regulate data sharing of cohorts via data infrastructures: An interview study with funding agencies
Sign Up to like & getrecommendations! Published in 2022 at "International journal of medical informatics"
DOI: 10.2139/ssrn.4158364
Abstract: BACKGROUND Platforms are being constructed to stimulate cohort data sharing. Nevertheless, many policy barriers impede data sharing. Various interventions have been proposed to address these barriers, including incentive creation and data sharing mandates for researchers.… read more here.
Keywords: data sharing; funding agencies; interview; policy ... See more keywords
Predicting Low Cognitive Ability at Age 5—Feature Selection Using Machine Learning Methods and Birth Cohort Data
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Public Health"
DOI: 10.3389/ijph.2022.1605047
Abstract: Objectives: In this study, we applied the random forest (RF) algorithm to birth-cohort data to train a model to predict low cognitive ability at 5 years of age and to identify the important predictive features.… read more here.
Keywords: ability; validation; age; cohort ... See more keywords