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Amy H. Herring
Researcher at Duke University
Publications - 324
Citations - 14480
Amy H. Herring is an academic researcher from Duke University. The author has contributed to research in topics: Pregnancy & Population. The author has an hindex of 62, co-authored 313 publications receiving 12579 citations. Previous affiliations of Amy H. Herring include University of North Carolina at Chapel Hill & Florida State University College of Arts and Sciences.
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Missing-data methods for generalized linear models: A comparative review
TL;DR: This work examines data that are missing at random and nonignorable missing, and compares four common approaches for inference in generalized linear models with missing covariate data: maximum likelihood (ML), multiple imputation (MI), fully Bayesian (FB), and weighted estimating equations (WEEs).
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Exploring Associations between Physical Activity and Perceived and Objective Measures of the Built Environment
TL;DR: Evaluating both objective and perceived measures of the built environment may be necessary when examining the relationship between theBuilt environment and physical activity.
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Comparison of pregnancy dating by last menstrual period, ultrasound scanning, and their combination.
TL;DR: In this paper, the accuracy of algorithms for the assignment of gestational age with the use of the last menstrual period and early ultrasound information was evaluated among women who attended prenatal care clinics in central North Carolina (n = 3655).
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Prevalence of uterine leiomyomas in the first trimester of pregnancy: an ultrasound-screening study.
TL;DR: In this paper, the proportion of pregnant women with one or more leiomyomas detected by research-quality ultrasound screening in the first trimester, to describe the size and location of leioma identified, and to report variation in prevalence by race/ethnicity.
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Association Between Biomarkers of Ovarian Reserve and Infertility Among Older Women of Reproductive Age.
Anne Z. Steiner,David A. Pritchard,Frank Z. Stanczyk,James S. Kesner,Juliana W. Meadows,Amy H. Herring,Donna D. Baird +6 more
TL;DR: Findings do not support the use of urinary or blood follicle-stimulating hormone tests or antimüllerian hormone levels to assess natural fertility for women with these characteristics.