SAS Starter Kit: Statistics Books for Loan

Note: This Starter Kit page is a subset of all of the textbooks we have available.

Academic Technology Services has a collection of books on Statistics and Statistical Computing available for UCLA researchers to borrow on a short term basis to help you with your research.  Many of the books have web pages associated with them that have the data files for the book and web pages showing how to perform the analyses from the book using packages like SAS, Stata, SPSS, etc., see our Textbook Examples page.

• Loan Policies
  • When & Where. The books listed below may be borrowed by visiting Statistical Consulting in Math Sciences 4919 during  walk-in consulting hours.
  • How Long? You may borrow a book for one week.  For example, a book borrowed on Wednesday would be due the following Wednesday.
  • Renewals? You may renew a book once by coming to walk in consulting on or before the due date (books cannot be renewed via email or by phone).  Late books cannot be renewed.
  • Policy on Late Returns! It is important to return your book on time, and if you do not return your book on time it will be counted as late.  If you have three late returns, you will no longer be permitted to borrow books.
  • Where to buy the books? Once you have borrowed a book, you may find that it would be a book that you would like to own and you would like to buy your own copy.  See Where to buy books for tips on different places you can buy these books.

General Introduction to SAS

• The Little SAS Book, Third Edition by Lora Delwiche and Susan Slaughter (16 copies) (Quarter loan!) 

General Statistical Analysis Using SAS

• Applied Statistics and the SAS Programming Language by Ronald Cody and Jeffrey Smith
• Common Statistical Methods for Clinical Research with SAS Examples Third Edition by Glenn A. Walker
• A Handbook of Statistical Analyses Using SAS by  Brian S. Everitt and Geoff Der, Read it Online! (UC Only)

Introductory Statistics Books

• General
  - Introduction to the Practice of Statistics by Moore and McCabe
  - Statistical Methods for the Social Sciences by Alan Agresti and Barbra Finlay

• Regression
  - Regression with Graphics: A Second Course in Applied Statistics by Lawrence Hamilton
  - Multiple Regression in Behavioral Research by Elazar Pedhazur
  - Multiple Regression:  A Primer by Paul D. Allison

• Analysis of Variance
  - Computer-Assisted Research Design and Analysis by Barbara Tabachnick and Linda Fidell
  - Experimental Design: Procedures for the Behavioral Sciences by Roger Kirk

---

The following books are more specialized and deal with more advanced topics.

Specialized SAS Books

• Data Cleaning and Data Management
  • Cody's Data Cleaning Techniques using SAS Software by Ron Cody
  • Concepts and Case Studies in Data Management by William S. Calvert and Meimei Ma
  • Health Care Data and the SAS System by  Marge Scerbo, Craig Dickstein, and Alan Wilson
• Logistic and Categorical Dependent Variables
  • Logistic Regression Examples Using the SAS System by SAS Institute
  • Logistic Regression Using the SAS(R) System: Theory and Application by Paul D. Allison
• MANOVA
  • Applied Multivariate Statistics with SAS Software, Second Edition by Ravindra Khattree and Dayanand N. Naik
• Survival Analysis
  • Survival Analysis Using the SAS System: A Practical Guide, Second Edition by Paul D. Allison

Specialized Statistics Books

• Econ/Time Series
  • An Introduction to Time Series Analysis and Forecasting: with Applications of SAS and SPSS by Robert A. Yaffee and Monnie McGee
• Logistic Regression 
  • Regression Models for Categorical and Limited Dependent Variables by J. Scott Long
  • Applied Logistic Regression (Second Edition) by David Hosmer and Stanley Lemeshow
  • Applied Logistic Regression by Scott Menard
  • Logistic Regression: A Primer by Fred C. Pampel
• Longitudinal Data Analysis
  • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett
• Missing Data
  • Missing Data by Paul D. Allison

• Multilevel Modeling

  • Hierarchical Linear Models, Second Edition by Stephen Raudenbush and Anthony Bryk

  • Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling by Tom Snijders and Roel Bosker

• Multivariate Statistics

  • Computer-Aided Multivariate Analysis by A. A. Afifi and V. Clark

  • Using Multivariate Statistics Fourth Edition by Barbara Tabachnick and Linda Fidell

• Sampling and Survey Analysis

  • The Ideas of Sampling by Alan Stuart
  • Sampling: Design and Analysis by Sharon L. Lohr (see also data sets for book)
  • Elementary Survey Sampling, 5th Edition by Scheaffer, Mendenhall and Ott
  • Designing and Conducting Health Surveys, Second Edition by Lu Anne Aday

• Survival Analysis

  • Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence by Judith D. Singer and John B. Willett

  • Applied Survival Analysis by David Hosmer, Jr. and Stanley Lemeshow