Stings in the tails: Detecting and dealing with censored data

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.


Issue Date:
2005
Publication Type:
Journal Article
DOI and Other Identifiers:
st0090 (Other)
PURL Identifier:
http://purl.umn.edu/117528
Published in:
Stata Journal, Volume 05, Number 3
Page range:
395-404
Total Pages:
10

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 Record created 2017-04-01, last modified 2017-08-26

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