SAS® Software Companion for Sampling

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A01=Sharon L. Lohr
advanced survey methodology applications
ANOVA Table
Author_Sharon L. Lohr
Bootstrap Weights
Category=PBT
CATMOD Procedure
Class Variable
Cluster Sampling
complex survey design
Data Set
educational research statistics
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
GLM Procedure
Jackknife Variance Estimation
Jackknife Weights
Loglinear Model
Missing Data
Missing Values
Model Statement
Neyman Allocation
NHANES Data
probability sampling methods
public health surveys
Replicate Weights
SAS Data Set
SAS Software
SGPLOT Procedure
statistical inference techniques
Stratified Multistage Sample
survey data analysis
SURVEYFREQ Procedures
SURVEYLOGISTIC Procedure
SURVEYMEANS Procedure
SURVEYREG Procedure
SURVEYSELECT Procedure

Product details

  • ISBN 9780367749378
  • Weight: 612g
  • Dimensions: 178 x 254mm
  • Publication Date: 30 Nov 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The SAS® Software Companion for Sampling: Design and Analysis, designed to be read alongside Sampling: Design and Analysis, Third Edition by Sharon L. Lohr (SDA; 2022, CRC Press), shows how to use the survey selection and analysis procedures of SAS® software to perform calculations for the examples in SDA.

No prior experience with SAS software is needed. Chapter 1 tells you how to access the software, introduces basic features, and helps you get started with analyzing data.

Each subsequent chapter provides step-by-step guidance for working through the data examples in the corresponding chapter of SDA, with code, output, and interpretation. Tips and warnings help you develop good programming practices and avoid common survey data analysis errors.

Features of the SAS software procedures are introduced as they are needed so you can see how each type of sample is selected and analyzed. Each chapter builds on the knowledge developed earlier for simpler designs; after finishing the book, you will know how to use SAS software to select and analyze almost any type of probability sample.

All code is available on the book website and is easily adapted for your own survey data analyses. The website also contains all data sets from the examples and exercises in SDA to help you develop your skills through analyzing survey data from social and public opinion research, public health, crime, education, business, agriculture, and ecology

Sharon L. Lohr, the author of Measuring Crime: Behind the Statistics, has published widely about survey sampling and statistical methods for education, public policy, law, and crime. She is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute, and has received the Gertrude M. Cox, Morris Hansen, and Deming Awards. Formerly Dean’s Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a statistical consultant and writer.

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