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The NLS Annotated Bibliography - User Submission Form
ALLISON, PAUL D. Fixed Effects Regression Methods In SAS® Presented: San Francisco CA, SAS Users Group International Conference (SUGI31), March 2006 Cohort(s): Children of the NLSY79 ID Number: 6537 Publisher: SAS Institute Inc. Permission to reprint the abstract has not been received from the publisher. Fixed effects regression methods are used to analyze longitudinal data with repeated measures on both independent and dependent variables. They have the attractive feature of controlling for all stable characteristics of the individuals, whether measured or not. This is accomplished by using only within-individual variation to estimate the regression coefficients. This paper surveys the wide variety of fixed effects methods and their implementation in SAS, specifically, linear models with PROC GLM, logistic regression models with PROC LOGISTIC, models for count data with PROC GENMOD, and survival models with PROC PHREG. Search returned 1 items. Search Start: 03:45:24 Search Finish: 03:45:24
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