George Luta
Biographic Data
| ID | 5537523 |
|---|---|
| NAME | George Luta |
| GIVEN NAMES | George |
| FAMILY NAME | Luta |
| SIGNATURE | LUTA G |
| AFFILIATIONS | Georgetown University |
| ORCID | 0000-0002-4035-7632 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Using the WHO Health Equity Assessment Toolkit to investigate changes in rural vs urban malnutrition inequality for low- and middle-income countries
Background Reducing health inequalities is a key element in the World Health Organization’s (WHO) sustainable development goals (SDG). While previous research has analyzed individual childhood malnutrition indicators and inequality by place of residence, there are no studies that have looked over time for rural vs. urban inequalities for all five-childhood malnutrition indicators for low- and middle-income countries (LMIC). The goal of the curren…
A Comparison of Statistical Methods to Construct Confidence Intervals and Fiducial Intervals for Measures of Health Disparities
Health disparities are differences in health status across different socioeconomic groups. Classical methods, e.g., the Delta method, have been used to estimate the standard errors of estimated measures of health disparities and to construct confidence intervals for these measures. However, the confidence intervals constructed using the classical methods do not have good coverage properties for situations involving sparse data. In this article, w…
Salivary, lacrimal and nasal (Salans) measure to assess side effects following radioactive iodine treatment
Do Common Risk Adjustment Methods Do Their Job Well If Center Effects Are Correlated With the Center-Specific Mean Values of Patient Characteristics
BACKGROUND: Direct and indirect standardization are well-established approaches to performing risk adjustment when comparing outcomes between healthcare providers. However, it is an open question whether they work well when there is an association between the center effects and the distributions of the patient characteristics in these centers. OBJECTIVES AND METHODS: We try to shed further light on the impact of such an association. We construct …
Inequalities in Violent Death across Income Levels among Young Males and Females in Countries of the Americas
Significant inequalities in violent death among young people seems to be in place across countries of the Americas, and they seem to be socially determined by both income and gender. These findings shed light on the epidemiology of violent death in young people and can inform priorities for regional public health action. However, further investigation is needed to confirm inequality patterns and to explore underlying mechanisms, age- and sex-spec…
Culturally Targeted Video Improves Psychosocial Outcomes in Latina Women at Risk of Hereditary Breast and Ovarian Cancer
Latina women at risk of hereditary breast and ovarian cancer (HBOC) have lower awareness, knowledge, and use of genetic counseling and testing services (GCT) than non-Latina Whites. Few interventions have been developed to reduce these disparities among at-risk Latinas. This pilot study assessed the impact of a culturally targeted narrative video developed by our team. The study included 40 Latina immigrants living in the United States who were a…
A Simulation-Based Comparison of Covariate Adjustment Methods for the Analysis of Randomized Controlled Trials
Covariate adjustment methods are frequently used when baseline covariate information is available for randomized controlled trials. Using a simulation study, we compared the analysis of covariance (ANCOVA) with three nonparametric covariate adjustment methods with respect to point and interval estimation for the difference between means. The three alternative methods were based on important members of the generalized empirical likelihood (GEL) fa…
Applications of a Novel Clustering Approach Using Non-Negative Matrix Factorization to Environmental Research in Public Health
Often data can be represented as a matrix, e.g., observations as rows and variables as columns, or as a doubly classified contingency table. Researchers may be interested in clustering the observations, the variables, or both. If the data is non-negative, then Non-negative Matrix Factorization (NMF) can be used to perform the clustering. By its nature, NMF-based clustering is focused on the large values. If the data is normalized by subtracting t…
Empirical Likelihood-Based Anova for Trimmed Means
In this paper, we introduce an alternative to Yuen's test for the comparison of several population trimmed means. This nonparametric ANOVA type test is based on the empirical likelihood (EL) approach and extends the results for one population trimmed mean from Qin and Tsao (2002). The results of our simulation study indicate that for skewed distributions, with and without variance heterogeneity, Yuen's test performs better than the new EL ANOVA t…
Generalized Confidence Intervals and Fiducial Intervals for Some Epidemiological Measures
For binary outcome data from epidemiological studies, this article investigates the interval estimation of several measures of interest in the absence or presence of categorical covariates. When covariates are present, the logistic regression model as well as the log-binomial model are investigated. The measures considered include the common odds ratio (OR) from several studies, the number needed to treat (NNT), and the prevalence ratio. For each…
Cigarette packaging and health warnings
Warnings combining pictorial depictions of smoking-related health risks with text-based messages about how quitting reduces risks, may achieve better outcomes among young adults, especially in countries considering or implementing plain packaging regulations
Information Channels Associated with Awareness of Human Papillomavirus Infections and Vaccination among Latino Immigrants from Safety Net Clinics
P1-35 On the use of empirical likelihood based methods to achieve balance on measured confounders
Introduction One of the limitations of the statistical methods that use propensity scores, such as those involving adjustment for the propensity score, matching, subclassification, and inverse probability of treatment weighting, is that they do not achieve exact balance with respect to the measured confounders. Empirical likelihood is a nonparametric method with desirable statistical properties that is perfectly suited to perform the reweighting …
Serum carotenoids and radiographic knee osteoarthritis
Objective: Antioxidant intake has been associated with less progression of radiographic knee osteoarthritis (OA), but studies of carotenoid biomarkers and OA have not been done. We examined associations between serum concentrations of nine naturally occurring carotenoids and radiographic knee OA. Design: The study design was matched case–control. Sera were analysed by high-performance liquid chromatography for nine carotenoids: lutein, zeaxanthin…
No prominent works on this page.
Serum carotenoids and radiographic knee osteoarthritis
Objective: Antioxidant intake has been associated with less progression of radiographic knee osteoarthritis (OA), but studies of carotenoid biomarkers and OA have not been done. We examined associations between serum concentrations of nine naturally occurring carotenoids and radiographic knee OA. Design: The study design was matched case–control. Sera were analysed by high-performance liquid chromatography for nine carotenoids: lutein, zeaxanthin…
Information Channels Associated with Awareness of Human Papillomavirus Infections and Vaccination among Latino Immigrants from Safety Net Clinics
P1-35 On the use of empirical likelihood based methods to achieve balance on measured confounders
Introduction One of the limitations of the statistical methods that use propensity scores, such as those involving adjustment for the propensity score, matching, subclassification, and inverse probability of treatment weighting, is that they do not achieve exact balance with respect to the measured confounders. Empirical likelihood is a nonparametric method with desirable statistical properties that is perfectly suited to perform the reweighting …
Cigarette packaging and health warnings
Warnings combining pictorial depictions of smoking-related health risks with text-based messages about how quitting reduces risks, may achieve better outcomes among young adults, especially in countries considering or implementing plain packaging regulations
A Simulation-Based Comparison of Covariate Adjustment Methods for the Analysis of Randomized Controlled Trials
Covariate adjustment methods are frequently used when baseline covariate information is available for randomized controlled trials. Using a simulation study, we compared the analysis of covariance (ANCOVA) with three nonparametric covariate adjustment methods with respect to point and interval estimation for the difference between means. The three alternative methods were based on important members of the generalized empirical likelihood (GEL) fa…
Applications of a Novel Clustering Approach Using Non-Negative Matrix Factorization to Environmental Research in Public Health
Often data can be represented as a matrix, e.g., observations as rows and variables as columns, or as a doubly classified contingency table. Researchers may be interested in clustering the observations, the variables, or both. If the data is non-negative, then Non-negative Matrix Factorization (NMF) can be used to perform the clustering. By its nature, NMF-based clustering is focused on the large values. If the data is normalized by subtracting t…
Empirical Likelihood-Based Anova for Trimmed Means
In this paper, we introduce an alternative to Yuen's test for the comparison of several population trimmed means. This nonparametric ANOVA type test is based on the empirical likelihood (EL) approach and extends the results for one population trimmed mean from Qin and Tsao (2002). The results of our simulation study indicate that for skewed distributions, with and without variance heterogeneity, Yuen's test performs better than the new EL ANOVA t…
Generalized Confidence Intervals and Fiducial Intervals for Some Epidemiological Measures
For binary outcome data from epidemiological studies, this article investigates the interval estimation of several measures of interest in the absence or presence of categorical covariates. When covariates are present, the logistic regression model as well as the log-binomial model are investigated. The measures considered include the common odds ratio (OR) from several studies, the number needed to treat (NNT), and the prevalence ratio. For each…
Culturally Targeted Video Improves Psychosocial Outcomes in Latina Women at Risk of Hereditary Breast and Ovarian Cancer
Latina women at risk of hereditary breast and ovarian cancer (HBOC) have lower awareness, knowledge, and use of genetic counseling and testing services (GCT) than non-Latina Whites. Few interventions have been developed to reduce these disparities among at-risk Latinas. This pilot study assessed the impact of a culturally targeted narrative video developed by our team. The study included 40 Latina immigrants living in the United States who were a…
Inequalities in Violent Death across Income Levels among Young Males and Females in Countries of the Americas
Significant inequalities in violent death among young people seems to be in place across countries of the Americas, and they seem to be socially determined by both income and gender. These findings shed light on the epidemiology of violent death in young people and can inform priorities for regional public health action. However, further investigation is needed to confirm inequality patterns and to explore underlying mechanisms, age- and sex-spec…
A Comparison of Statistical Methods to Construct Confidence Intervals and Fiducial Intervals for Measures of Health Disparities
Health disparities are differences in health status across different socioeconomic groups. Classical methods, e.g., the Delta method, have been used to estimate the standard errors of estimated measures of health disparities and to construct confidence intervals for these measures. However, the confidence intervals constructed using the classical methods do not have good coverage properties for situations involving sparse data. In this article, w…
Salivary, lacrimal and nasal (Salans) measure to assess side effects following radioactive iodine treatment
Do Common Risk Adjustment Methods Do Their Job Well If Center Effects Are Correlated With the Center-Specific Mean Values of Patient Characteristics
BACKGROUND: Direct and indirect standardization are well-established approaches to performing risk adjustment when comparing outcomes between healthcare providers. However, it is an open question whether they work well when there is an association between the center effects and the distributions of the patient characteristics in these centers. OBJECTIVES AND METHODS: We try to shed further light on the impact of such an association. We construct …
Using the WHO Health Equity Assessment Toolkit to investigate changes in rural vs urban malnutrition inequality for low- and middle-income countries
Background Reducing health inequalities is a key element in the World Health Organization’s (WHO) sustainable development goals (SDG). While previous research has analyzed individual childhood malnutrition indicators and inequality by place of residence, there are no studies that have looked over time for rural vs. urban inequalities for all five-childhood malnutrition indicators for low- and middle-income countries (LMIC). The goal of the curren…
Medicine (9 works) · Mathematics (7 works) · Statistics (6 works) · Computer Science (5 works) · Econometrics (5 works) · Public health (5 works) · Confidence interval (4 works) · Estimator (4 works) · Internal Medicine (4 works) · Statistical Methods and Bayesian Inference (4 works)