Narrow your search

Library

KCE (6)

KU Leuven (5)

UAntwerpen (5)

UCLouvain (5)

UGent (3)

ULiège (2)

National Bank of Belgium (1)

UHasselt (1)

UMons (1)

UNamur (1)


Resource type

book (6)


Language

English (6)


Year
From To Submit

2010 (1)

2006 (1)

1997 (1)

1996 (1)

1995 (1)

More...
Listing 1 - 6 of 6
Sort by
SAS system for mixed models
Authors: --- ---
ISBN: 1555447791 9781555447793 Year: 1996 Publisher: Leuven SAS institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

At last! A comprehensive, applications-oriented mixed models guide for data analysis. Discover the latest capabilities available for a wide range of applications featuring the MIXED procedure in SAS/STAT software. This practical guide integrates the theory underlying the models, the specific forms of the models for various applications, and examples from many different fields of study using appropriate SAS code with interpretation of results. Specific models discussed include: simple random-effect only, simple mixed with a single fixed and random effect, split-plot, multilocation, repeated measures, analysis of covariance, random coefficients, and spatial correlation. With a background in two-way ANOVA and regression and basic knowledge of linear models and matrix algebra, you will benefit from the discussion of basic to advanced topics in this book. A working knowledge of experimental design is also helpful.

The little SAS book : a primer.
Authors: ---
ISBN: 9781590473337 1590473337 Year: 2006 Publisher: Cary SAS institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Getting started with SAS is easy with The Little SAS Book. This friendly, easy-to-read guide gently introduces you to the most commonly used features of SAS software plus a whole lot more! The book has been revised to include concepts of the Output Delivery System; the STYLE= option in the PRINT, REPORT, and TABULATE procedures; ODS HTML, RTF, PRINTER, and OUTPUT destinations; PROC REPORT; more on PROC TABULATE; exporting data; and the colon modifier for informats. You'll find clear and concise explanations of basic SAS concepts (such as DATA and PROC steps), inputting data, modifying and combining data sets, summarizing and presenting data, basic statistical procedures, and debugging SAS programs. Each topic is presented in a self-contained, two-page layout complete with examples and graphics. This format enables new users to get up and running quickly, while the examples allow you to type in the program and see it work!


Book
Survival analysis using SAS : a practical guide
Author:
ISBN: 9781599946405 1599948842 1599946408 Year: 2010 Publisher: Cary SAS Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events. Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data.

Survival analysis using the SAS system : a practical guide
Author:
ISBN: 155544279X 9781555442798 Year: 1995 Publisher: Cary (N.C.) : SAS institute,

Linear mixed models in practice : a SAS-oriented approach.
Authors: ---
ISBN: 0387982221 9780387982229 0387950273 9780387950273 Year: 1997 Volume: 126 Publisher: New York (N.Y.) Springer

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Linear Models. --- Statistics as Topic. --- Models, Theoretical. --- 519.25 --- #ABIB:astp --- Linear models (Statistics) --- Longitudinal method --- Longitudinal research --- Longitudinal studies --- Methodology --- Research --- Social sciences --- Models, Linear (Statistics) --- Mathematical models --- Mathematical statistics --- Statistics --- 519.25 Statistical data handling --- Statistical data handling --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Linear Regression --- Log-Linear Models --- Models, Linear --- Linear Model --- Linear Regressions --- Log Linear Models --- Log-Linear Model --- Model, Linear --- Model, Log-Linear --- Models, Log-Linear --- Regression, Linear --- Regressions, Linear --- Programming --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Computer Simulation --- Systems Theory --- SAS (Computer file) --- Data processing --- Linear models (Statistics). --- Longitudinal method. --- Data processing. --- QA 279 Analysis of variance and covariance. Experimental design. / General works --- Linear Models --- Statistics as Topic --- Models, Theoretical --- Linear models (Statistics) - Data processing

Listing 1 - 6 of 6
Sort by