0000000000559841
AUTHOR
Andrew Steptoe
Additional file 6 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 6. Estimated optimism.
Additional file 14 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 14. The formula for the final model.
Additional file 2 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 2. Distribution of missing and observed variables included in the analyses in ELSA.
Additional file 3 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 3. Sample calculations for Survival outcomes (Cox prediction models).
Additional file 12 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 12. The distribution of survival probabilities estimated based on 13 variables included in the model in the development and validation cohorts.
Additional file of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 4 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 4. Distributions of the variables at baseline before and after multiple imputations.
Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
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…
Additional file 8 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 8. Optimism-corrected models’ performance in prediction the 10-year risk of all-cause mortality in older adults.
Additional file 11 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 11. Histogram depicting distribution of prognostic index (PI) estimated based on 13 variables included in the model in the development cohort and external cohort.
Additional file 10 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 10. Internally validated though optimism-correction models’ discrimination for prediction the 10-year risk of all-cause mortality in older adults.
Additional file 5 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 5. Apparent coefficients for the Cox-LASSO regression for all-cause mortality during the 10-year follow-up.
Additional file 13 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 13. Distributions of the variables included in the final all-cause mortality model in derivation cohort (ELSA) and validation cohort (HRS).
Additional file 9 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 9. Apparent models’ discrimination in prediction the 10-year risk of all-cause mortality in older adults.
Additional file 7 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 7. Apparent models’ performance in prediction the 10-year risk of all-cause mortality in older adults.
Additional file 1 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 1. Outlines a list of all variables considered in the analyses and whether they have been included or excluded from the model building.