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An Improved Bayesian Approach to Estimating the Reference Interval from a Meta-Analysis: Directly Monitoring the Marginal Quantiles and Characterizing Their Uncertainty
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Siegel, Lianne; Chu, Haitao – Research Synthesis Methods, 2023
Reference intervals, or reference ranges, aid medical decision-making by containing a pre-specified proportion (e.g., 95%) of the measurements in a representative healthy population. We recently proposed three approaches for estimating a reference interval from a meta-analysis based on a random effects model: a frequentist approach, a Bayesian…
Descriptors: Bayesian Statistics, Meta Analysis, Intervals, Decision Making
Integrating Human and Machine Intelligence in Galaxy Morphology Classification Tasks
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Beck, Melanie Renee – ProQuest LLC, 2018
The large flood of data flowing from observatories presents significant challenges to astronomy and cosmology--challenges that will only be magnified by projects currently under development. Growth in both volume and velocity of astrophysics data is accelerating: whereas the Sloan Digital Sky Survey (SDSS) has produced 60 terabytes of data in the…
Descriptors: Classification, Astronomy, Physics, Measurement
Applications of Computerized Adaptive Testing. Proceedings of a Symposium presented at the Annual Convention of the Military Testing Association (18th, October 1976). Research Report 77-1.
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Weiss, David J., Ed. – 1977
This symposium consists of five papers and presents some recent developments in adaptive testing which have applications to several military testing problems. The overview, by James R. McBride, defines adaptive testing and discusses some of its item selection and scoring strategies. Item response theory, or item characteristic curve theory, is…
Descriptors: Ability, Achievement Tests, Adaptive Testing, Bayesian Statistics