Fixed Effects Regression Methods for Longitudinal Data Using SAS
| Author | : | |
| Rating | : | 4.95 (625 Votes) |
| Asin | : | 1590475682 |
| Format Type | : | paperback |
| Number of Pages | : | 148 Pages |
| Publish Date | : | 2016-01-03 |
| Language | : | English |
DESCRIPTION:
Gordon S. Linoff said Excellent Book That Does What the Title Says. Recently, I was asked to do some analysis on longitudinal patient data using fixed effects regression. This book provided an excellent, step-by-step approach on how to tackle the problem.The first two chapters cover an overview of fixed effects and random effects modeling in the context of ordinary least squares. Then, Prof. Allison devotes a chapter to each of several topics: modeling binary outcomes, modeling counting outcomes, and modeling time to event (I admit that I s. Idee Fixe Author provides nice explanation of PROC CALIS for linear fixed effects, random effects and reciprocal effects with lagged predictors. That said, why not in the same volume provide additional discussion clarifying distinction between PROC GLM use of least squares for linear trends and use of PROC CALIS for linear and nonlinear trends and tests for significance in PROC CALIS.. "kind of costly but useful book" according to H., YU-TING. useful book to understand how to conduct sas code with fixed effectalso, it helps understand the concept of the effect for beginners
In 2001 he received the Paul Lazarsfeld Memorial Award for Distinguished Contributions to Sociological Methodology. Paul Allison is Professor of Sociology at the University of Pennsylvania, where he teaches graduate methods and statistics. In addition, Paul has written numerous statistical articles and published extensively on the subject of scientists' careers. . A former Guggenheim Fellow, he is als
The theoretical background of each model is explained, and the models are then illustrated with detailed examples using real data. To gain the most benefit from this book, readers should be familiar with multiple linear regression, have practical experience using multiple regression on real data, and be comfortable interpreting the output from a regression analysis. First introduced by economists, fixed effects methods are gaining widespread use throughout the social sciences. Some experience with SAS is helpful, but not required.. The book contains
A second obstacle to wider use has been having the knowledge of the software to implement these techniques. The author even provides sample outputs and takes the reader through a scholarly interpretation of results. To say that I was impressed with this book would be an understatement. In a brief monograph, Allison is able to present the essentials of fixed effects for each model and the appropriate procedures in SAS that can implement them. For those just beginning to use panel models, Allison provides a sophisticated yet accessible guide to understanding the key issues in the analysis of panel data. These represent the most widely used models in the social sciences. What I especially liked about the book was how the author is able to fluidly mix clear and accurate explanations of statistical concerns and procedures with specific directions for how to go about these procedures in SAS. It merits observing that even researchers or students not thoroughly versed in the statis