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A handbook of statistical analyses using SAS 2nd Edition by Geoff Der, Brian S Everitt ISBN 158488245X 9781584882459

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Author(s): Geoff Der, Brian S. Everitt
ISBN(s): 9781584882459, 158488245X
Edition: 2nd ed
File Details: PDF, 4.13 MB
Year: 2002
Language: english
SKU: EB-1143674 Category: Tags: ,

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ISBN 10: 158488245X 
ISBN 13: 9781584882459
Author: Geoff Der, Brian S Everitt

This essential handbook provides an introduction to the use of SAS for a variety of statistical analyses. Each chapter describes a particular technique applied to a particular data set, describes the relevant questions, gives a brief account of the methods used, details the SAS instructions needed to undertake analysis, and interprets the SAS output. Handbook of Statistical Analysis Using SAS serves as an easy introduction to using SAS for statistics and as a stepping stone to using the more comprehensive SAS manuals available. Statistical users of SAS, especially in the pharmaceutical industry and medical research, will find this book of particular interest.

A handbook of statistical analyses using SAS 2nd Table of contents:

1 Introduction to SAS
 1.1 Introduction
 1.2 User Interface
  1.2.1 Editor Window
  1.2.2 Log Window
  1.2.3 Output Window
  1.2.4 Results Window
  1.2.5 Explorer Window
  1.2.6 Some Other Menus
 1.3 SAS Language
  1.3.1 Program Steps
  1.3.2 Variable Names and Data Set Names
  1.3.3 Variable Lists
 1.4 Reading Data – the Data Step
  1.4.1 Creating SAS Data Sets from Raw Data
  1.4.2 Data Statement
  1.4.3 Infile Statement
  1.4.4 Input Statement
   1.4.4.1 List Input
   1.4.4.2 Column Input
   1.4.4.3 Formatted Input
   1.4.4.4 Multiple Lines per Observation
   1.4.4.5 Multiple Observations per Line
   1.4.4.6 Delimited Data
   1.4.4.7 Tab-Separated Data
   1.4.4.8 Comma-Separated Data
  1.4.5 Proc Import
  1.4.6 Reading Data from Other Programs and Databases
  1.4.7 Temporary and Permanent SAS Data Sets – SAS Libraries
  1.4.8 Reading Data from an Existing SAS Data Set
 1.5 Modifying SAS Data
  1.5.1 Creating and Modifying Variables
  1.5.2 Missing Values in Arithmetic Expressions
  1.5.3 Deleting Variables
  1.5.4 Deleting Observations
  1.5.5 Subsetting Data Sets
  1.5.6 Concatenating Data Sets – Adding Observations
  1.5.7 Merging Data Sets – Adding Variables
  1.5.8 Operation of the Data Step
 1.6 Proc Step
  1.6.1 Proc Statement
  1.6.2 Var Statement
  1.6.3 Where Statement
  1.6.4 By Statement
  1.6.5 Class Statement
 1.7 Global Statements
  1.7.1 Options
 1.8 SAS Graphics
  1.8.1 XY Plots – Proc SGPLOT
  1.8.2 Summary Plots
  1.8.3 Panel Plots
 1.9 ODS – The Output Delivery System
  1.9.1 ODS Procedure Output
  1.9.2 ODS Styles
  1.9.3 Saving Output in SAS Data Sets – ODS Output
  1.9.4 ODS Graphics
 1.10 Enhancing Output
  1.10.1 Variable Labels
  1.10.2 Value Labels – SAS Formats
 1.11 Some Tips for Preventing and Correcting Errors

2 Data Description and Simple Inference
3 Simple Inference for Categorical Data
4 Analysis of Variance I
5 Analysis of Variance II
6 Simple Linear Regression
7 Multiple Regression
8 Logistic Regression
9 Generalized Linear Models
10 Generalized Additive Models
11 Analysis of Variance of Repeated Measures
12 Longitudinal Data I
13 Longitudinal Data II
14 Longitudinal Data III
15 Survival Analysis
16 Principal Components Analysis and Factor Analysis
17 Cluster Analysis
18 Discriminant Function Analysis
19 Correspondence Analysis

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Tags: Geoff Der, Brian S Everitt, statistical analyses