The data giveth, but what do we take away?

Affiliations

¹ Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA.
² Pregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.

Editorial

Julia F Simard et al. Paediatr Perinat Epidemiol. 2023 May.

. 2023 May;37(4):263-265.

doi: 10.1111/ppe.12975. Epub 2023 Apr 3.

¹ Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA.
² Pregnancy and Child Health Research Center, HealthPartners Institute, Minneapolis, Minnesota, USA.

No abstract available

References

1. Culbertson N. The skyrocketing volume of healthcare data makes privacy imperative. Forbes Magaz. 2021. https://www.forbes.com/sites/forbestechcouncil/2021/08/06/the-skyrocketi...
1. Suárez-Idueta L, Pita R, Blencowe H, et al. National data linkage assessment of live births and deaths in Mexico: estimating under five mortality rate ratios for vulnerable newborns and trends from 2008 to 2019. Paediatr Perinat Epidemiol. 2023;37:266-275.
1. Johansson K, Granfors M, Petersson G, et al. The Stockholm-Gotland perinatal cohort-a population-based cohort including longitudinal data throughout pregnancy and the postpartum period. Paediatr Perinat Epidemiol. 2023;37:276-286.
1. Razaz N, Sid J, Joseph KS. The matrix revolutions: how databases and database linkages will transform epidemiologic research. Paediatr Perinat Epidemiol. 2023;37:287-291.
1. Braddon AE, Robinson S, Alati R, Betts KS. Exploring the utility of synthetic data to extract more value from sensitive health data assets: a focused example in perinatal epidemiology. Paediatr Perinat Epidemiol. 2023;37:292-300.