Quantile Regression in Biostatistics

EXTREMAL QUANTILE REGRESSION 3 quantile regression

Quantile regression is an important tool for estimation of conditional quantiles of a response Y given a vector of covariates X. It can be used to measure the effect of covariates not only in the center of a distribution, but also in the upper and lower tails. This paper develops a theory of quantile regression in the tails. Specifically , it obtains the large sample properties of extremal (ext...

Biostatistics 202: logistic regression analysis.

Quantile Regression

The purpose of regression analysis is to expose the relationship between a response variable and predictor variables. In real applications, the response variable cannot be predicted exactly from the predictor variables. Instead, the response for a fixed value of each predictor variable is a random variable. For this reason, we often summarize the behavior of the response for fixed values of the...

Quantile Regression

DAGStat 2013-Freiburg Outline 1.

Quantile Regression

Quantile regresson extends classical least squares methods of estimating conditional mean functions by offering a variety of methods for estimating conditional quantile functions, thereby enabling the researcher to explore heterogeneous covariate effects. The course will offer a comprehensive introduction to quantile regression methods and survey some recent developments. The primary reference ...