Claire Margerson-Zilko
Biographic Data
| ID | 6078051 |
|---|---|
| NAME | Claire Margerson-Zilko |
| GIVEN NAMES | Claire |
| FAMILY NAME | Margerson-Zilko |
| SIGNATURE | MARGERSON-ZILKO C |
| AFFILIATIONS | Jennifer Ahern and K. Ellicott Colson are with the Division of Epidemiology, School of Public Health, University of California, Berkeley. Claire Margerison-Zilko is with the Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing. Alan Hubbard is with the Division of Biostatistics, School of Public Health, University of California, Berkeley. Sandro Galea is with the School of Public Health, Boston University, Boston, MA. |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 1 |
Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking
A substitution estimator can be used to predict how shifts in population exposures might change health. We illustrated this method by estimating how an upper limit on alcohol outlet density might alter binge drinking in the New York Social Environment Study (n = 4000), and provided statistical code and sample data. The largest differences in binge drinking were for an upper limit of 70 outlets per square mile; there was a −0.7% difference in bing…
Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking
A substitution estimator can be used to predict how shifts in population exposures might change health. We illustrated this method by estimating how an upper limit on alcohol outlet density might alter binge drinking in the New York Social Environment Study (n = 4000), and provided statistical code and sample data. The largest differences in binge drinking were for an upper limit of 70 outlets per square mile; there was a −0.7% difference in bing…
Predicting the Population Health Impacts of Community Interventions: The Case of Alcohol Outlets and Binge Drinking
A substitution estimator can be used to predict how shifts in population exposures might change health. We illustrated this method by estimating how an upper limit on alcohol outlet density might alter binge drinking in the New York Social Environment Study (n = 4000), and provided statistical code and sample data. The largest differences in binge drinking were for an upper limit of 70 outlets per square mile; there was a −0.7% difference in bing…
Binge drinking (1 works) · Confidence interval (1 works) · Demography (1 works) · Environmental health (1 works) · Gerontology (1 works) · Gerontology (1 works) · Health disparities and outcomes (1 works) · Injury prevention (1 works) · Mathematics (1 works) · Medicine (1 works)