Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Eisenberg says many colleges now train campus personnel to spot and refer troubled college students

Farley on new strategies for city insolvencies in Michigan

Owen-Smith says universities must demonstrate value of higher education

Highlights

Call for papers: Conference on Integrating Genetics and the Social Sciences, Oct 21-22, 2016, CU-Boulder

PRB training program in policy communication for pre-docs. Application deadline, 2.28.2016

Call for proposals: PSID small grants for research on life course impacts on later life wellbeing

PSC News, fall 2015 now available

Next Brown Bag

Monday, Feb 1 at noon, 6050 ISR-Thompson
Sarah Miller

Tukey's gh distribution for multiple imputation

Publication Abstract

He, Y.L., and Trivellore Raghunathan. 2006. "Tukey's gh distribution for multiple imputation." American Statistician, 60(3): 251-256.

Tukey proposed a class of distributions, the g-and-h family (gh family), based on a transformation of a standard normal variable to accommodate different skewness and elongation in the distribution of variables arising in practical applications. It is easy to draw values from this distribution even though it is hard to explicitly state the probability density function. Given this flexibility, the gh family may be extremely useful in creating multiple imputations for missing data. This article demonstrates how this family, as well as its generalizations, can be used in the multiple imputation analysis of incomplete data. The focus of this article is on a scalar variable with missing values. In the absence of any additional information, data are missing completely at random, and hence the correct analysis is the complete-case analysis. Thus, the application of the gh multiple imputation to the scalar cases affords comparison with the correct analysis and with other model-based multiple imputation methods. Comparisons are made using simulated datasets and the data from a survey of adolescents ascertaining driving after drinking alcohol.

DOI:10.1198/000313006X126819 (Full Text)

Browse | Search : All Pubs | Next