@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}, }