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1.
Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.
PLoS Med;
20(1): e1004036, 2023 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-36701266
2.
Correction: Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.
PLoS Med;
20(4): e1004232, 2023 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-37071835
3.
Associations of Maternal Educational Level, Proximity to Greenspace During Pregnancy, and Gestational Diabetes With Body Mass Index From Infancy to Early Adulthood: A Proof-of-Concept Federated Analysis in 18 Birth Cohorts.
Am J Epidemiol;
2023 Oct 19.
Artículo
en Inglés
| MEDLINE | ID: mdl-37856700
4.
Development of a prediction model to target screening for high blood pressure in children.
Prev Med;
132: 105997, 2020 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-31981642
5.
Differences in birth weight between immigrants' and natives' children in Europe and Australia: a LifeCycle comparative observational cohort study.
BMJ Open;
13(3): e060932, 2023 03 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-36958776
6.
Authors' reply re: Associations of maternal prepregnancy body mass index and gestational weight gain with cardio-metabolic risk factors in adolescent offspring: a prospective cohort study.
BJOG;
123(12): 2054-2055, 2016 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-27753251
7.
Dynamic prediction model to identify young children at high risk of future overweight: Development and internal validation in a cohort study.
Pediatr Obes;
15(9): e12647, 2020 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-32400070
8.
Childhood prediction models for hypertension later in life: a systematic review.
J Hypertens;
37(5): 865-877, 2019 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-30362985
9.
Repeatedly measured predictors: a comparison of methods for prediction modeling.
Diagn Progn Res;
2: 5, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-31093555
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