Multiple Imputation in Practice Using IVEware
โ Scribed by Berglund, Patricia A.; Raghunathan, Trivellore; Solenberger, Peter W
- Publisher
- CRC Press
- Year
- 2017
- Tongue
- English
- Leaves
- 265
- Edition
- First edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
"Multiple Imputation is a versatile and general purpose method for analyzing data with some missing values. One popular approach is called sequential regression multivariate imputation, and the authors here have developed a free software package called IVEware that uses this approach. This package works as a standalone, or can be called into SAS, STATA, SPSS, and R. It is widely used in research, notably in the ย Read more...
Abstract:
โฆ Table of Contents
Content: Basic ConceptsDescriptive StatisticsLinear ModelsGeneralized Linear ModelCategorical Data AnalysisSurvival AnalysisStructural Equation ModelsLongitudinal Data AnalysisComplex Survey Data Analysis using BBDESIGNSensitivity AnalysisOdds and EndsAppendices
โฆ Subjects
Statistical Computing.;Statistical Theory & Methods.;Psychological Methods & Statistics.;STATSnetBASE.;SCI-TECHnetBASE.;STMnetBASE.
๐ SIMILAR VOLUMES
<span>Multiple Imputation and its Application</span><p><span>The most up-to-date edition of a bestselling guide to analyzing partially observed data</span></p><p><span>In this comprehensively revised Second Edition of </span><span>Multiple Imputation and its Application,</span><span> a team of disti
<p>A complete discussion of MIMO communications, from theory to real-world applications</p><p>The emerging wireless technology Wideband Multiple-Input, Multiple-Output (MIMO) holds the promise of greater bandwidth efficiency and wireless link reliability. This technology is just now being implemente
Content: <br>Chapter 1 Introduction (pages 1โ36): <br>Chapter 2 The Multiple Imputation Procedure and its Justification (pages 37โ73): <br>Chapter 3 Multiple Imputation of Quantitative Data (pages 75โ89): <br>Chapter 4 Multiple Imputation of Binary and Ordinal Data (pages 90โ111): <br>Chapter 5 Mult
<p><b>A practical guide to analysing partially observed data.</b></p><p>Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the result