SAS System for Mixed Models

Rating:
Summary: Get it
Review: Excellent examples and explainations. If you need to understand or utilized Proc Mixed, this is an excellent reference.

Rating:
Summary: Horrible book
Review: Learning from the Singer 1997 paper, I was able to run hierarchical models by Proc Mixed easily. However, reading "SAS System for Mixed Models" got me more confused about what I was able to utilize easily. Not to mention, I spent more than $90 back then. Don't waste your money on it.

Rating:
Summary: Horrible book
Review: Learning from the Singer 1997 paper, I was able to run hierarchical models by Proc Mixed easily. However, reading "SAS System for Mixed Models" got me more confused about what I was able to utilize easily. Not to mention, I spent more than $90 back then. Don't waste your money on it.

Rating:
Summary: Examples, Examples, Examples
Review: This references goes beyond the SAS Reference Manual (V.8) for mixed models. This is an applied statistics book, but theory is given in an end chapter. Basic and advanced topics are presented, and although introductory sections are provided...the book is written at a graduate-level and previous experience with analysis of variance is a desirable prerequisite. Topics covered include common mixed models, analysis of repeated measures data, random effects models, analysis of covariance, random coefficient models, heterogeneous variance models, spatial variability, generalized linear mixed models, and nonlinear mixed models. Two to six examples are discussed in detail for each of these cases. If you're trying to figure out a split-plot analysis with random effects and a complicated covariance structure...i.e. messy data...this book will do for you in two hours, what a week of reading the standard SAS manuals would have done. Also, if you primarily work with mixed models, this book is a lot cheaper than the standard SAS manuals, and tells you more about mixed models.

Rating:
Summary: Wonderful Reference
Review: This volume, while focusing on the Mixed procedure in SAS, gives a great overview of mixed models theory and application. Full of examples from a variety of fields and better yet, real data to hone one's skills.

Rating:
Summary: Wonderful resource
Review: Tons of examples! It's a nice mix between theory and applications, citing scenarios from all industries. Not only do they show you the code, they also produce the output and go through it section by section.

Rating:
Summary: Wonderful resource
Review: Tons of examples! It's a nice mix between theory and applications, citing scenarios from all industries. Not only do they show you the code, they also produce the output and go through it section by section.