Cited by 99Statistical Methods and Bayesian InferenceStatistical Methods in EpidemiologyStatistical and numerical algorithms

Measurement Error Models

Stefanski, L. A.·2000·Journal of the American Statistical Association

Abstract

(2000). Measurement Error Models. Journal of the American Statistical Association: Vol. 95, No. 452, pp. 1353-1358.

Integrity signals

Registry

Crossref · 10.1080/01621459.2000.10474347

Cites

24 of 24 references verified0 citation errors · 0 not checkable

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  • If measurement error in the wealth measure biases the estimates, it does so toward zero, meaning any relationship between wealth and student loan outcomes would be even more pronounced than estimated.

    “If this measurement error biases our estimates, we expect that it does so toward zero (Stefanski, 2000), meaning that any relationship between wealth and desired student loan outcomes would be even more pronounced than what is estimated.”

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Authors
Stefanski, L. A.
Affiliations
North Carolina State University (US)
Corresponding author
Stefanski, L. A.
Venue
Journal of the American Statistical Association
Published
2000-12
Volume
95
Issue
452
Pages
1353-1358
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W1977312576
Cited by
99
References
24
Citations by year
2026: 1 · 2025: 1 · 2024: 7 · 2023: 5 · 2022: 6 · 2021: 7 · 2020: 3 · 2019: 6 · 2018: 1 · 2017: 3 · 2016: 7 · 2015: 9 · 2014: 1 · 2013: 5 · 2012: 5
Type
book review
Language
en
Open access
closed
Locations
Journal of the American Statistical Association (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Mathematics › Applied Mathematics › Statistical and numerical algorithms
Keywords
measurement error models, measurement error

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