Elizabeth Jasper
Biographic Data
| ID | 9022155 |
|---|---|
| NAME | Elizabeth Jasper |
| GIVEN NAMES | Elizabeth |
| FAMILY NAME | Jasper |
| SIGNATURE | JASPER E |
| AFFILIATIONS | Department of Obstetrics and Gynecology Vanderbilt University Medical Center Nashville TN USA |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Latent class analysis to characterize neonatal risk for neurodevelopmental differences
BACKGROUND: Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class anal…
Using Amanhi-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation
BACKGROUND: Globally, 15 million infants are born preterm and another 23.2 million infants are born small for gestational age (SGA). Determining burden of preterm and SGA births, is essential for effective planning, modification of health policies and targeting interventions for reducing these outcomes for which accurate estimation of gestational age (GA) is crucial. Early pregnancy ultrasound measurements, last menstrual period and post-natal ne…
No prominent works on this page.
Using Amanhi-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation
BACKGROUND: Globally, 15 million infants are born preterm and another 23.2 million infants are born small for gestational age (SGA). Determining burden of preterm and SGA births, is essential for effective planning, modification of health policies and targeting interventions for reducing these outcomes for which accurate estimation of gestational age (GA) is crucial. Early pregnancy ultrasound measurements, last menstrual period and post-natal ne…
Latent class analysis to characterize neonatal risk for neurodevelopmental differences
BACKGROUND: Neonatal risk factors, such as preterm birth and low birth weight, have been robustly linked to neurodevelopmental deficits, yet it is still unclear why some infants born preterm and/or low birth weight experience neurodevelopmental difficulties while others do not. The current study investigated this heterogeneity in neurodevelopmental abilities by examining additional neonatal morbidities as risk factors, utilizing latent class anal…
Gestational age (2 works) · Medicine (2 works) · Neonatal and fetal brain pathology (2 works) · Pediatrics (2 works) · Pregnancy (2 works) · Biology (1 work) · Birth weight (1 work) · Confidence interval (1 work) · Demography (1 work) · Estimation (1 work)