
156 Statistical Programming in SAS
5.1 Overview of Modeling
SAS provides many regression procedures. These include procedures for constructing
linear models for normally distributed responses (e.g., REG, GLM, and MIXED), non-
normal regression models (e.g., GENMOD, LOGISTIC, COUNTREG, and GLIMIX),
nonlinear regression models (e.g., NLIN and NLMIXED), failure time models (e.g.,
LIFEREG and PHREG), and other regression methods (e.g., LOESS, ROBUSTREG,
QUANTREG, and TRANSREG). Other procedures address problems in the analysis of
time series data (e.g., TSCSREG or ARIMA) or structural equations (e.g., CALIS). Some
general modeling procedures ...