Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Trena M Ezzati-Rice"'
Publikováno v:
Journal of Economic and Social Measurement. 36:33-69
The Medical Expenditure Panel Survey (MEPS) is one of the core health care surveys that are a primary source for essential national healthcare utilization estimates. In 2007, the survey experienced two dominant survey design modifications: a new samp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7920c103a8ac2e4d950d0a57c069172b
https://doi.org/10.3233/jem-2011-0339
https://doi.org/10.3233/jem-2011-0339
Publikováno v:
Health Services and Outcomes Research Methodology. 9:197-218
National health insurance coverage estimates for the overall population and specific population subgroups are critical to policymakers and others concerned with access to medical care and the cost and sources of payment for that care. The Medical Exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f226e5d485d800cae3e28348c571fb3f
https://doi.org/10.1007/s10742-010-0058-y
https://doi.org/10.1007/s10742-010-0058-y
Autor:
Ting Yan, Frauke Kreuter, Carolina Casas-Cordero, Trena M. Ezzati-Rice, James Wagner, Robert M. Groves, Michael Lemay, Trivellore E. Raghunathan, Andy Peytchev, Kristen Olson
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society. 173:389-407
SummaryNon-response weighting is a commonly used method to adjust for bias due to unit non-response in surveys. Theory and simulations show that, to reduce bias effectively without increasing variance, a covariate that is used for non-response weight
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d90cd9d8a24670cdcba51d1668d44a79
https://doi.org/10.1111/j.1467-985x.2009.00621.x
https://doi.org/10.1111/j.1467-985x.2009.00621.x
Publikováno v:
Health Services and Outcomes Research Methodology. 7:125-144
National estimates of the uninsured are available from multiple surveys and differ across surveys. Previous efforts to better understand reasons for differences among these estimates have primarily focused on annual estimates. This study compares nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a530bf9b867df220485a2159ca6cbd3
https://doi.org/10.1007/s10742-007-0021-8
https://doi.org/10.1007/s10742-007-0021-8
Publikováno v:
Medical Care. 44:45-53
Health care spending is highly concentrated. Prediction models that accurately identify the characteristics of individuals most likely to incur high levels of health expenditures in a subsequent year are important analytical and statistical tools.Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53effcb13def0768edaa156732964ace
https://doi.org/10.1097/01.mlr.0000208200.31206.38
https://doi.org/10.1097/01.mlr.0000208200.31206.38
Publikováno v:
Journal of Economic and Social Measurement. 30:135-144
The utility of probabilistic models to identify individuals with future high medical expenditures1 Steven B. Cohena,∗, Trena Ezzati-Riceb and William Yub aCenter for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, 540
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45c701212481eda59cb13afe251635fd
https://doi.org/10.3233/jem-2005-0247
https://doi.org/10.3233/jem-2005-0247
Publikováno v:
Paediatric and Perinatal Epidemiology. 18:51-60
We used linked birth/infant death records of over 23 million singletons belonging to six birth cohorts (1989-91 and 1995-97) and examined changes in race differentials in the overall and cause-specific infant mortality risks across time in the United
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::375b970ce123352aeea3fa537f57979f
https://doi.org/10.1111/j.1365-3016.2004.00535.x
https://doi.org/10.1111/j.1365-3016.2004.00535.x
Autor:
Michael P. Battaglia, Meena Khare, Ann-Sofi Rodén, Trena M Ezzati-Rice, David C. Hoaglin, Robert A. Wright, Vicki J Huggins, Philip J. Smith
Publikováno v:
American Journal of Preventive Medicine. 20:17-24
The National Immunization Survey (NIS) is a large federally funded survey designed to estimate vaccination coverage rates for children residing in the United States aged 19 to 35 months. In 1999, over 8 million telephone call attempts were made to ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6331e06704d74591e02a366b3e4ed5f
https://doi.org/10.1016/s0749-3797(01)00285-9
https://doi.org/10.1016/s0749-3797(01)00285-9
Publikováno v:
American Journal of Preventive Medicine. 20:6-14
Objective: This article reviews four surveys methodologies that have been used over the past 40 years to assess immunization rates in young children in the United States. These methods include three national surveys: (1) United States Immunization Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff9b4a091574a3f8714158005838db35
https://doi.org/10.1016/s0749-3797(01)00286-0
https://doi.org/10.1016/s0749-3797(01)00286-0
Autor:
Victor G. Coronado, Robert A. Wright, David C. Hoaglin, Martin R. Frankel, Trena M Ezzati-Rice, John D. Loft
Publikováno v:
Journal of Economic and Social Measurement. 26:99-109
Trena M. Ezzati-Ricea, Martin R. Frankelb, David C. Hoaglinb, John D. Loftc, Victor G. Coronadod and Robert A. Wrighta aCenters for Disease Control and Prevention, National Center for Health Statistics, 6525 Belcrest Road, Room 915, Hyattsville, MD 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6dba68cc492e92b3ae0e9be3813db4
https://doi.org/10.3233/jem-2000-0174
https://doi.org/10.3233/jem-2000-0174