Ming-Hui Chen
Biographic Data
| ID | 4270601 |
|---|---|
| NAME | Ming-Hui Chen |
| GIVEN NAMES | Ming-Hui |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN M |
| AFFILIATIONS | University of Connecticut, Storrs |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Health disparities in preterm births
Introduction: Black African American (B/AA) women have a 2-fold to 3-fold elevated risk compared with non-Hispanic White (W) women for preterm birth. Further, preterm birth is the leading cause of mortality among B/AA infants, and among survivors, preterm infant adverse health outcomes occur disproportionately in B/AA infants. Racial inequities in maternal and infant health continue to pose a public health crisis despite the discovery >100 years …
Orange juice intake and anthropometric changes in children and adolescents
Objective: Evaluate associations between orange juice (OJ) consumption and anthropometric parameters. Design: Prospective cohort study assessing the association between OJ intake and changes in BMI and height-for-age Z -score (HAZ) using mixed linear regression. Setting: 2004–2008, USA. Participants: Children from the Growing Up Today Study II ( n 7301), aged 9–16 years at enrollment. Results: OJ consumption was positively associated with 2-year …
A New Mixture Model for Misclassification With Applications for Survey Data
Social scientists often rely on survey data to examine group differences. A problem with survey data is the potential misclassification of group membership due to poorly trained interviewers, inconsistent responses, or errors in marking questions. In data containing unequal subsample sizes, the consequences of misclassification can be considerable, especially for groups with small sample sizes. In this study, the authors develop a new mixture mod…
A New Mixture Model for Misclassification With Applications for Survey Data
Social scientists often rely on survey data to examine group differences. A problem with survey data is the potential misclassification of group membership due to poorly trained interviewers, inconsistent responses, or errors in marking questions. In data containing unequal subsample sizes, the consequences of misclassification can be considerable, especially for groups with small sample sizes. In this study, the authors develop a new mixture mod…
A New Mixture Model for Misclassification With Applications for Survey Data
Social scientists often rely on survey data to examine group differences. A problem with survey data is the potential misclassification of group membership due to poorly trained interviewers, inconsistent responses, or errors in marking questions. In data containing unequal subsample sizes, the consequences of misclassification can be considerable, especially for groups with small sample sizes. In this study, the authors develop a new mixture mod…
Orange juice intake and anthropometric changes in children and adolescents
Objective: Evaluate associations between orange juice (OJ) consumption and anthropometric parameters. Design: Prospective cohort study assessing the association between OJ intake and changes in BMI and height-for-age Z -score (HAZ) using mixed linear regression. Setting: 2004–2008, USA. Participants: Children from the Growing Up Today Study II ( n 7301), aged 9–16 years at enrollment. Results: OJ consumption was positively associated with 2-year …
Health disparities in preterm births
Introduction: Black African American (B/AA) women have a 2-fold to 3-fold elevated risk compared with non-Hispanic White (W) women for preterm birth. Further, preterm birth is the leading cause of mortality among B/AA infants, and among survivors, preterm infant adverse health outcomes occur disproportionately in B/AA infants. Racial inequities in maternal and infant health continue to pose a public health crisis despite the discovery >100 years …
Mathematics (2 works) · Medicine (2 works) · Pediatrics (2 works) · Animal science (1 work) · Anthropometry (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian probability (1 work) · Census and Population Estimation (1 work) · Chemistry (1 work)