When to worry more: An empirical investigation of the effects of non-randomly missing data on regression analysis
Statistical remedies exist for most configurations of missing data, but these remedies require specific models and/or measures of nonresponse that are usually unavailable to the researcher. Consequently, the question of the conditions under which the threat to regression analysis posed by non-random...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
1992
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI9219497 |