The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Selection Modeling Versus Mixture Modeling with Nonignorable Nonresponse
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Citations
Cites
Shadow Prices, Market Wages, and Labor Supply
Heckman, J. (1974) · Econometrica · doi:10.2307/1913937 · Cited by 1,852
Cited by
Missing Data: Five Practical Guidelines
Newman, D. A. (2014) · Organizational Research Methods · doi:10.1177/1094428114548590 · Cited by 1,411
Application of random-effects pattern-mixture models for missing data in longitudinal studies.
Hedeker, D., & Gibbons, R. D. (1997) · Psychological Methods · doi:10.1037/1082-989x.2.1.64 · Cited by 907
Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective*
Heckman, J. J. (2000) · Quarterly Journal of Economics · doi:10.1162/003355300554674 · Cited by 507
Patterns and mental health predictors of domestic violence in the United States
Kessler, R. C., Molnar, B. E., Feurer, I. D., & Appelbaum, M. (2001) · International Journal of Law and Psychiatry · doi:10.1016/s0160-2527(01)00080-2 · Cited by 282
Structural Factor Analysis Experiments with Incomplete Data
McArdle, J. J. (1994) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2904_5 · Cited by 198
Metadata
- Authors
- Glynn, R. J., Laird, N. M., & Rubin, D. B.
- Venue
- Drawing Inferences from Self-Selected Samples
- Publisher
- Springer New York
- Published
- 1986
- Pages
- 115-142
- OpenAlex
- W137346718
- Cited by
- 176
- References
- 1
- FWCI
- 29.19
- Type
- book chapter
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Selection Modeling Versus Mixture Modeling with Nonignorable Nonresponse. https://app.cochat.ai/papers/10.1007/978-1-4612-4976-4_10
- The paper
- Glynn, R. J., Laird, N. M., & Rubin, D. B. (1986). Selection Modeling Versus Mixture Modeling with Nonignorable Nonresponse. Drawing Inferences from Self-Selected Samples. https://doi.org/10.1007/978-1-4612-4976-4_10
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
