Search Results - subject:"Multiple Imputation"

Do Markets Promote Prosocial Behavior? Evidence from the Standard Cross-Cultural Sample.

Eff, E. Anthon; Dow, Malcolm M. - Economics and Finance Department, Jennings A. Jones … - 2008

) to correct for Galton’s problem, and uses multiple imputation to deal with the problem of missing data. The results fail …

Persistent link: https://www.econbiz.de/10005578988

Assessing the Effectiveness of a Stochastic Regression Imputation Method for Ordered Categorical Data

Sulis, I.; Porcu, M. - Centro Ricerche Nord Sud (CRENoS) - 2008

The main aim of this paper is to describe a workable method based on stochastic regression and multiple imputation … Multiple Imputation by Chained Equations (MICE). The authors provide also functions (implemented in R language) to apply the … distribution and in estimation of a multiple imputation procedure. …

Persistent link: https://www.econbiz.de/10005811635

The income distribution with coarse data

Daniels, Reza - Economic Research Southern Africa (ERSA) - 2008

How do you estimate poverty, inequality and earnings when the income variable consists of a combination of point-identified, interval-identified, and missing observations? This paper proposes a unifying theoretical approach to the problem of deriving point estimates when such data are present....

Persistent link: https://www.econbiz.de/10008563335

Analysis of partially observed clustered data using generalized estimating equations and multiple imputation

Aloisio, Kathryn M.; Swanson, Sonja A.; Micali, Nadia; … - In: Stata Journal 14 (2014) 4, pp. 863-883

developments in Stata have facilitated using them in practice. We demonstrate how to use multiple imputation in conjunction with a …. Other options, such as the weighted GEE, are computationally challenging when missingness is nonmonotone. Multiple … imputation is an attractive method to fit incomplete data models while requiring only the less restrictive missing …

Persistent link: https://www.econbiz.de/10011105649

Application of multiple imputation using the two-fold fully conditional specification algorithm in longitudinal clinical data

Welch, Catherine; Bartlett, Jonathan; Petersen, Irene - In: Stata Journal 14 (2014) 2, pp. 418-431

are clinically relevant. We can use existing methods to handle missing data, such as multiple imputation (MI), if we treat …

Persistent link: https://www.econbiz.de/10010801219

Flexible modeling of survival data with covariates subject to detection limits via multiple imputation

Bernhardt, Paul W.; Wang, Huixia Judy; Zhang, Daowen - In: Computational Statistics & Data Analysis 69 (2014) C, pp. 81-91

uncommon for biomarkers to be censored at known detection limits. A computationally-efficient multiple imputation procedure for … normality of the multiple imputation estimator are established and a consistent variance estimator is provided. An iterative … version of the proposed multiple imputation algorithm that approximates the EM algorithm for maximum likelihood is also …

Persistent link: https://www.econbiz.de/10010871308

Variable selection by Random Forests using data with missing values

Hapfelmeier, A.; Ulm, K. - In: Computational Statistics & Data Analysis 80 (2014) C, pp. 129-139

predictor variables. Possible solutions are multiple imputation, complete case analysis and the use of a self … recommendations: Complete case analysis should not be used as it led to inaccurate variable selection. Multiple imputation is the …

Persistent link: https://www.econbiz.de/10010906927

Export behaviour of SMEs in transition countries

Gashi, Petrit; Hashi, Iraj; Pugh, Geoff - In: Small Business Economics 42 (2014) 2, pp. 407-435

Melitz’s dynamic model of export participation is the basis of our empirical specification that accounts for a wide range of internal and external factors affecting the export behaviour of small and medium-sized enterprises (SMEs) in Transition Countries (TCs). Using firm-level data, our...

Persistent link: https://www.econbiz.de/10010988499

Using Generalized Procrustes Analysis for Multiple Imputation in Principal Component Analysis

Ginkel, Joost; Kroonenberg, Pieter - In: Journal of Classification 31 (2014) 2, pp. 242-269

Multiple imputation is one of the most highly recommended procedures for dealing with missing data. However, to date …

Persistent link: https://www.econbiz.de/10010950404

Compatibility results for conditional distributions

Berti, Patrizia; Dreassi, Emanuela; Rigo, Pietro - In: Journal of Multivariate Analysis 125 (2014) C, pp. 190-203

In various frameworks, to assess the joint distribution of a k-dimensional random vector X=(X1,…,Xk), one selects some putative conditional distributions Q1,…,Qk. Each Qi is regarded as a possible (or putative) conditional distribution for Xi given (X1,…,Xi−1,Xi+1,…,Xk). The Qi are...

Persistent link: https://www.econbiz.de/10011041946