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NP from AHRQ for their thoughtful guidance and leadership. We would also like to thank Dr. Wenke Hwang for sharing his methods for assigning chronic conditions with us, and James Kirby, PhD of AHRQ for reviewing the methodological issues related to the MEPS data. Finally, we would like to thank Emma Oppenheim, Daniel Jefferson Smith and Nazhin Beiramee for(More)
Introduction Many household telephone surveys collect family income. It is sometimes used as a poststratification variable for the survey weights. It is more often used as a classification variable in analyses of survey outcome variables (e.g., health status measures). Family income, along with the number of persons in the family and the number of children(More)
The Advisory Committee on Immunization Practices recommends annual influenza vaccination for all health care personnel (HCP) to reduce influenza-related morbidity and mortality among both HCP and their patients and to decrease absenteeism among HCP. To estimate influenza vaccination coverage among U.S. HCP for the 2014–15 influenza season, CDC conducted an(More)
Item non-response is a challenge faced by virtually all surveys. Item non-response occurs when a respondent skips over a question, refuses to answer a question, or indicates that they do not know the answer to a question. Hot deck imputation is one of the primary item non-response imputation tools used by survey statisticians. Recently, new competitor in(More)
survey opportunities in exchange for nominal cash and rewards.* Among the 2,518 HCP who completed the screening questions and entered the two panel survey sites, 2,348 (93.2%) completed the survey. † Of those, 1,724 (73.4%) were clinical professionals, and 624 (26.6%) were other HCP. Survey categories included demographics, occupation type, work setting,(More)
Raking is a widely used technique for developing survey weights. It assigns a weight value to each sampling unit such that the weighted distribution of the sample is in very close agreement with two or more marginal control variables. For example, in household surveys the control variables are typically sample design and socio-demographic variables. Raking(More)
The Advisory Committee on Immunization Practices recommends that all health care personnel (HCP) be vaccinated annually against influenza. Vaccination of HCP can reduce influenza-related morbidity and mortality among both HCP and their patients. To estimate influenza vaccination coverage among HCP during the 2013-14 season, CDC analyzed results of an opt-in(More)
In analyzing data from a survey, researchers often need to compare the effectiveness of several logistic regression models. The receiver operating characteristic curve offers one way to measure effectiveness of prediction, by calculating the area under the curve (AUC). We present a SAS  macro for calculating AUC that takes the survey weights into account.(More)
Working with a large pharmacy database means having to process-merge, sort, and summarize-hundreds of millions of observations. By themselves, traditional methods of processing can lead to prohibitive data processing times that endanger deadlines. The hash object is the fastest and most versatile method in the SAS® system of substantially accelerating the(More)