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Cited by 364

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Regression Models: Censored, Sample Selected, or Truncated Data.

Haugh, Larry D., Breen, Richard·1997·Journal of the American Statistical Association

Abstract

What techniques can social scientists use when an outcome variable for a sample is not representative of the population for whom they would like to generalize the results? This book provides an introduction to regression models for such data including censored, sample-selected and truncated data.

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Metadata

Authors
Haugh, L. D., & Breen, R.
Venue
Journal of the American Statistical Association
Publisher
JSTOR
Published
1997-03
Volume
92
Issue
437
Pages
388
ISSN
0162-1459 (ISSN-L)
OpenAlex
W2068901263
Cited by
364
References
0
FWCI
10.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Regression Models: Censored, Sample Selected, or Truncated Data. https://app.cochat.ai/papers/10.2307/2291492
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Haugh, L. D., & Breen, R. (1997). Regression Models: Censored, Sample Selected, or Truncated Data. Journal of the American Statistical Association. https://doi.org/10.2307/2291492

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.