Improved procedures for estimation of disease prevalence using ranked set sampling.

@article{Chen2007ImprovedPF,
  title={Improved procedures for estimation of disease prevalence using ranked set sampling.},
  author={Haiying Chen and Elizabeth A. Stasny and Douglas A. Wolfe},
  journal={Biometrical journal. Biometrische Zeitschrift},
  year={2007},
  volume={49 4},
  pages={
          530-8
        }
}
Ranked set sampling (RSS) is a sampling procedure that can be considerably more efficient than simple random sampling (SRS). When the variable of interest is binary, ranking of the sample observations can be implemented using the estimated probabilities of success obtained from a logistic regression model developed for the binary variable. The main objective of this study is to use substantial data sets to investigate the application of RSS to estimation of a proportion for a population that is… CONTINUE READING