0000000000755056

AUTHOR

Ryan J. Mccammon

showing 1 related works from this author

Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large pop…

2021

Abstract Background In increasingly ageing populations, there is an emergent need to develop a robust prediction model for estimating an individual absolute risk for all-cause mortality, so that relevant assessments and interventions can be targeted appropriately. The objective of the study was to derive, evaluate and validate (internally and externally) a risk prediction model allowing rapid estimations of an absolute risk of all-cause mortality in the following 10 years. Methods For the model development, data came from English Longitudinal Study of Ageing study, which comprised 9154 population-representative individuals aged 50–75 years, 1240 (13.5%) of whom died during the 10-year follo…

AgingLongitudinal studySurvivalEpidemiologyCalibration (statistics)PopulationHealth InformaticsFeature selectionAbsolute riskPopulation-based longitudinal studyPrognostic factorsRisk AssessmentSensitivity and Specificity01 natural sciencesCohort Studies010104 statistics & probability03 medical and health sciences0302 clinical medicineStatisticsHumansMedicineLongitudinal Studies030212 general & internal medicineMortality0101 mathematicseducationAgedProportional Hazards Modelslcsh:R5-920education.field_of_studyProportional hazards modelbusiness.industryAbsolute risk reductionHealth and Retirement StudyStatistical learninglcsh:Medicine (General)businessResearch ArticleCohort studyBMC Medical Research Methodology
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