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Stings in the tails: Detecting and dealing with censored data

Author

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  • Ronán M. Conroy

    (Royal College of Surgeons in Ireland)

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.

Suggested Citation

  • Ronán M. Conroy, 2005. "Stings in the tails: Detecting and dealing with censored data," Stata Journal, StataCorp LP, vol. 5(3), pages 395-404, September.
    • Handle: RePEc:tsj:stataj:v:5:y:2004:i:3:p:395-404
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    Cited by:

    1. Eshetu Mamo & Getamesay Bekele, 2017. "Households¡¯ Willingness to Pay for Community Based Health Insurance Scheme: in Kewiot and EfratanaGedem Districts of Amhara Region, Ethiopia," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 212-233, December.
    2. Fatma Bouattour, 2016. "Financial Constraints and Export Performances: Evidence from Brazilian Micro-Data," Working Papers DT/2016/18, DIAL (Développement, Institutions et Mondialisation).
    3. Shuang Chen, 2022. "The Positive Effect of Women’s Education on Fertility in Low-Fertility China," European Journal of Population, Springer;European Association for Population Studies, vol. 38(1), pages 125-161, March.
    4. Shannon, Matthew, 2022. "The labour market outcomes of transgender individuals," Labour Economics, Elsevier, vol. 77(C).

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