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Full-Text Articles in Biostatistics
Ranked Set Sampling Based On Binary Water Quality Data With Covariates, Paul Kvam
Ranked Set Sampling Based On Binary Water Quality Data With Covariates, Paul Kvam
Department of Math & Statistics Faculty Publications
A ranked set sample (RSS) is composed of independent order statistics, formed by collecting and ordering independent subsamples, then measuring only one item from each subsample. If the cost of sampling is dominated by data measurement rather than collection or ranking, the RSS technique is known to be superior to ordinary sampling. Experiments based on binary data are not designed to exploit the advantages of ranked set sampling because categorical data typically are as easily measured as ranked, making RSS methods impractical. However, in some environmental and biological studies, the success probability of a bivariate outcome is related to one …
Selective Multiple Imputation Of Keys For Statistical Disclosure Control In Microdata, Rod Little, Fang Liu
Selective Multiple Imputation Of Keys For Statistical Disclosure Control In Microdata, Rod Little, Fang Liu
The University of Michigan Department of Biostatistics Working Paper Series
The fundamental tension in statistical disclosure control (SDC) of microdata is the trade-off between the protection of individual respondents and the release of enough information for statistical inferences. We consider microdata that include key variables that contain identifying information and target variables that include sensitive information. Releasing the original data may expose some individuals in the sample to high risk of disclosure; deleting key variables is a common approach, but this loses information for some statistical analysis. This paper proposes selective multiple imputation of key variables (SMIKe) as an alternative SDC technique between those two extremes, and applies SMIKe to …
Correlates Of Parental Antibiotic Knowledge, Demand, And Reported Use, Marianne Kuzujanakis, Ken Kleinman, Sheryl Rifas-Shiman, Jonathan A. Finkelstein
Correlates Of Parental Antibiotic Knowledge, Demand, And Reported Use, Marianne Kuzujanakis, Ken Kleinman, Sheryl Rifas-Shiman, Jonathan A. Finkelstein
Public Health Department Faculty Publication Series
Clinicians cite parental misconceptions and requests for antibiotics as reasons for inappropriate prescribing. To identify misconceptions regarding antibiotics and predictors of parental demand for antibiotics and to determine if parental knowledge and attitudes are associated with use. Survey of parents in 16 Massachusetts communities. Domains included antibiotic-related knowledge, attitudes about antibiotics, antibiotic use during a 12-month period, demographics, and access to health information. Bivariate and multivariate analyses evaluated predictors of knowledge and proclivity to demand antibiotics. A multivariate model evaluated the associations of knowledge, demand, and demographic factors with parent-reported antibiotic use. A total of 1106 surveys were returned (response …