Fixed Effects Regression Methods Longitudinal Data Using SAS is an invaluable resource for all researchers interested in adding fixed effects regression methods of their tool kit of statistical techniques. Designed to eliminate major biases from regression models with multiple observations (usually longitudinal) for each subject (usually a person), fixed effects methods essentially offer control for all stable characteristics of the subjects, even the characteristics that are difficult or impossible to measure. This book contains a thorough discussion of the following SAS procedures: PROC GLM for estimating fixed effects linear model for quantitative results, PROC LOGISTIC for estimating fixed effects logistic regression models, PROC PHREG for estimating fixed effects Cox regression model for recurrent event data, PROC GENMOD to estimate the fixed effects Poisson regression model to data on the number, PROC Calis to estimate the fixed effects structural equation model. To get great benefit from this book, the reader should be familiar with multiple linear regression, have practical experience using regression on real data, and comfortable interpreting the output of regression analysis.