Stings in the tails: Detecting and dealing with censored data

Ronán Conroy ()

Stata Journal, 2005, vol. 5, issue 3, 395-404

Abstract: Variables often show evidence of clustering at extreme values and of graininess, that is, of a limited number of distinct values. Scores on two subscales of a quality-of-life measure, traditionally analyzed with OLS regression or ANOVA models, provide examples. Ignoring or failing to detect such features of the data will result in poor estimates of effect size. Copyright 2005 by StataCorp LP.

Keywords: censored data; diagnostic plots; intreg (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0090
http://www.stata-journal.com/software/sj5-3/st0090/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2004:i:3:p:395-404

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().