@article{Orsini:196673,
      recid = {196673},
      author = {Orsini, Nicola and Bottai, Matteo},
      title = {Logistic quantile regression in Stata},
      journal = {Stata Journal},
      address = {2011},
      number = {199-2016-2277},
      pages = {20},
      year = {2011},
      abstract = {We present a set of Stata commands for the estimation,  prediction, and graphical representation of logistic  quantile regression described by Bottai, Cai, and McKeown  (2010, Statistics in Medicine 29: 309–317). Logistic  quantile regression models the quantiles of outcome  variables that take on values within a bounded, known  interval, such as proportions (or percentages) within 0 and  1, school grades between 0 and 100 points, and visual  analog scales between 0 and 10 cm. We describe the syntax  of the new commands and illustrate their use with data from  a large cohort of Swedish men on lower urinary tract  symptoms measured on the international prostate symptom  score, a widely accepted score bounded between 0 and 35.},
      url = {http://ageconsearch.umn.edu/record/196673},
      doi = {https://doi.org/10.22004/ag.econ.196673},
}