Multiple Imputation in Practice with Examples using IVEware

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Multiple Imputation in Practice with Examples using IVEware

Trivellore Raghunathan, Patricia A. Berglund, Peter W. Solenberger

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سب زمرہ:

سال:

2018

ناشر کتب:

CRC

زبان:

english

صفحات:

255

ISBN 10:

1498770169

ISBN 13:

9781498770163

فائل:

PDF, 1.43 MB

IPFS:

,

english, 2018

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ڈاؤن لوڈ کریں (pdf, 1.43 MB)

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آپ کو دلچسپی ہوسکتی ہے

Donald B. Rubin — Multiple Imputation for Nonresponse in Surveys (Wiley Series in Probability and Statistics)

Berglund, Patricia A.; Raghunathan, Trivellore; Solenberger, Peter W — Multiple Imputation in Practice Using IVEware

Yulei He, Guangyu Zhang, Chiu-Hsieh Hsu — Multiple Imputation of Missing Data in Practice: Basic Theory and Analysis Strategies (Chapman & Hall/CRC Interdisciplinary Statistics)

StataCorp — Stata Multiple-Imputation Reference Manual: Release 11

IBM — IBM SPSS Missing Values 26

Wan Tang & Hua He & Xin M. Tu — Applied Categorical and Count Data Analysis: Second Edition

Der, Geoff., Everitt, Brian. & Brian S. Everitt — Applied Medical Statistics Using SAS

Unknown — Visualization and Imputation of Missing Values

— SPSS Inc. SPSS Missing Values 17.0

— IBM. IBM SPSS Missing Values 21

— IBM SPSS Missing Values 19

Watanabe M.(Ed), Yamaguchi K. — The EM Algorithm and Related Statistical Models

Wan Tang, Hua He, Xin M. Tu — Applied Categorical and Count Data Analysis

Frans E.S. Tan, Shahab Jolani — Applied Linear Regression for Longitudinal Data: With an Emphasis on Missing Observations

Eric Vittinghoff, David Glidden, Steve Shiboski, Charles E. McCulloch — Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)

Susanne Rässler (auth.) — Statistical Matching: A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches

J.L. Schafer — Analysis of Incomplete Multivariate Data

Geoff Der (Author); Brian S. Everitt (Author) — Applied Medical Statistics Using SAS

James R. Carpenter, Michael G. Kenward(auth.) — Multiple Imputation and its Application

Paul D. Allison — Missing Data

Michiko Watanabe, Kazunori Yamaguchi — The EM Algorithm and Related Statistical Models (Statistics: a Series of Textbooks and Monographs)

Michael O'Kelly, Bohdana Ratitch — Clinical Trials with Missing Data: A Guide for Practitioners

James R. Carpenter, Jonathan W. Bartlett, Tim P. Morris, Angela M. Wood, Matteo Quartagno, Michael G. Kenward — Multiple Imputation and its Application, 2nd

Steven G. Heeringa (Author); Brady T. West (Author); Patricia A. Berglund (Author) — Applied Survey Data Analysis

Lewis, Taylor H — Complex survey data analysis with SAS

Steven G. Heeringa, Brady T. West, Patricia A. Berglund — Applied Survey Data Analysis (Chapman & Hall CRC Statistics in the Social and Behavioral Scie)

Tang, Wan; He, Hua; Tu, Xin M — Applied categorical and count data analysis

Stef van Buuren — Flexible Imputation of Missing Data

Jörg Drechsler (auth.) — Synthetic Datasets for Statistical Disclosure Control: Theory and Implementation

Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski;Charles E. McCulloch — Regression Methods in Biostatistics

Raghunathan, Trivellore — Missing data analysis in practice

Peter Bruce, Andrew Bruce — Practical Statistics for Data Scientist

Bruce, Peter, Bruce, Andrew, Gedeck, Peter — Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Craig Mallinckrodt, Ilya Lipkovich — Analyzing Longitudinal Clinical Trial Data: A Practical Guide

Patricia Berglund, Steven G. Heeringa — Multiple Imputation of Missing Data Using SAS

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