Complex Survey Data Analysis with SAS.

Format:

Book

Author/Creator:

Lewis, Taylor H.

Contributor:

CRCnetBASE.

Murray Galt Motter Memorial Fund.

Language:

English

Subjects (All):

SAS (Computer file).

Multivariate analysis--Data processing.

Multivariate analysis.

Regression analysis--Data processing.

Regression analysis.

Sampling.

Surveys.

Genre:

Electronic books.

Physical Description:

1 online resource (322 pages)

Place of Publication:

Milton : CRC Press, 2016.

System Details:

text file

Contents:

Cover; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Preface; Author; 1. Features and Examples of Complex Surveys; 1.1 Introduction; 1.2 Definitions and Terminology; 1.3 Overview of SAS/STAT Procedures Available to Analyze Survey Data; 1.4 Four Features of Complex Surveys; 1.4.1 A Hypothetical Expenditure Survey; 1.4.2 Finite Population Corrections; 1.4.3 Stratification; 1.4.4 Clustering; 1.4.5 Unequal Weights; 1.4.6 Brief Summary of the Features of Complex Survey Data; 1.5 Examples of Complex Surveys; 1.5.1 Introduction;

1.5.2 The National Ambulatory Medical Care Survey1.5.3 The National Survey of Family Growth; 1.5.4 Commercial Buildings Energy Consumption Survey; 1.6 Summary; 2. Drawing Random Samples Using PROC SURVEYSELECT; 2.1 Introduction; 2.2 Fundamental Sampling Techniques; 2.2.1 Simple Random Sampling; 2.2.2 Systematic Sampling; 2.2.3 Probability Proportional to Size Sampling; 2.3 Stratified Sampling; 2.4 Cluster Sampling; 2.5 Summary; 3. Analyzing Continuous Variables Using PROC SURVEYMEANS; 3.1 Introduction; 3.2 Totals; 3.3 Means; 3.4 Ratios; 3.5 Quantiles; 3.6 Summary;

4. Analyzing Categorical Variables Using PROC SURVEYFREQ4.1 Introduction; 4.2 Univariate Analyses; 4.2.1 Descriptive Statistics; 4.2.2 Alternative Methods of Constructing Confidence Intervals for Extreme Proportions; 4.2.3 Goodness-of-Fit Tests; 4.3 Bivariate Analyses; 4.3.1 Introduction; 4.3.2 Tests of Association; 4.3.3 Risk Statistics and Odds Ratios; 4.4 Multiway Tables; 4.5 Summary; 5. Fitting Linear Regression Models Using PROC SURVEYREG; 5.1 Introduction; 5.2 Linear Regression in a Simple Random Sampling Setting; 5.3 Linear Regression with Complex Survey Data;

5.4 Testing for a Reduced Model5.5 Computing Unit-Level Statistics; 5.6 Summary; 6. Fitting Logistic Regression Models Using PROC SURVEYLOGISTIC; 6.1 Introduction; 6.2 Logistic Regression in a Simple Random Sampling Setting; 6.3 Logistic Regression with Complex Survey Data; 6.4 Testing for a Reduced Model and Adequate Model Fit; 6.5 Computing Unit-Level Statistics; 6.6 Customizing Odds Ratios; 6.7 Extensions for Modeling Variables with More than Two Outcomes; 6.7.1 Introduction; 6.7.2 Multinomial Logistic Regression Model for Nominal Outcomes;

6.7.3 Cumulative Logistic Regression Model for Ordinal Outcomes6.8 Summary; 7. Survival Analysis with Complex Survey Data; 7.1 Introduction; 7.2 Foundations of Survival Analysis; 7.2.1 Data Collection Strategies; 7.2.2 Censoring; 7.2.3 Definitions; 7.2.4 Classification of Survival Analysis Models; 7.3 Survival Analysis with Complex Survey Data; 7.3.1 Visualizing the Data Using PROC LIFETEST; 7.3.2 Fitting Cox Proportional Hazards Regression Models Using PROC SURVEYPHREG; 7.3.3 Fitting Discrete-Time Hazards Regression Models Using PROC SURVEYLOGISTIC; 7.4 Summary; 8. Domain Estimation; 8.1 Introduction.

Notes:

Description based on print version record.

Local Notes:

Acquired for the Penn Libraries with assistance from the Murray Galt Motter Memorial Fund.

Other Format:

Print version: Lewis, Taylor H. Complex Survey Data Analysis with SAS.

ISBN:

9781315349770

1315349779

OCLC:

959149873

Access Restriction:

Restricted for use by site license.